From cfe93c51bc7a98bdb235c12cde341eaea473b0d8 Mon Sep 17 00:00:00 2001 From: Morten Hjorth-Jensen Date: Thu, 26 Oct 2023 09:24:45 +0200 Subject: [PATCH] update --- .../_build/.doctrees/environment.pickle | Bin 538801 -> 539987 bytes .../_build/.doctrees/week43.doctree | Bin 1488384 -> 1069738 bytes .../_build/html/_sources/week43.ipynb | 578 +- doc/LectureNotes/_build/html/searchindex.js | 2 +- doc/LectureNotes/_build/html/week43.html | 7870 +----- .../_build/jupyter_execute/week43.ipynb | 21435 +--------------- .../_build/jupyter_execute/week43.py | 4 +- doc/LectureNotes/week43.ipynb | 578 +- 8 files changed, 922 insertions(+), 29545 deletions(-) diff --git a/doc/LectureNotes/_build/.doctrees/environment.pickle b/doc/LectureNotes/_build/.doctrees/environment.pickle index 03ac3670684aed4fcf94479bd009840e86ba4ed6..dbc667d29ffea3673807106d7779f8c4d7643897 100644 GIT binary patch literal 539987 zcmd?S378y7btgWD&X&|_-PasBsu`&@qw3Zp*w`2ruMfQV1{(}E24ld+U;_plY_R#(Yt}Xkw*S8uFEb-EBda?j 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Linear Algebra, Handling of Arrays and more Python Features","Project 1 on Machine Learning, deadline October 9 (midnight), 2023","Project 2 on Machine Learning, deadline November 13 (Midnight)","Teaching schedule with links to material","1. Elements of Probability Theory and Statistical Data Analysis","Teachers and Grading","Textbooks","Week 34: Introduction to the course, Logistics and Practicalities","Week 35: From Ordinary Linear Regression to Ridge and Lasso Regression","Week 36: Statistical interpretation of Linear Regression and Resampling techniques","Week 37: Statistical interpretations and Resampling Methods","Week 38: Logistic Regression and Optimization","Week 39: Optimization and Gradient Methods","Week 40: Gradient descent methods (continued) and start Neural networks","Week 41 Neural networks and constructing a neural network code","Week 42 Constructing a Neural Network code with introduction to Tensor flow","Week 43: Deep Learning: Constructing a Neural Network code and solving differential 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Linear Regression","14. Building a Feed Forward Neural Network","15. Solving Differential Equations with Deep Learning","16. Convolutional Neural Networks","17. Recurrent neural networks: Overarching view","4. Ridge and Lasso Regression","5. Resampling Methods","6. Logistic Regression","8. Support Vector Machines, overarching aims","9. Decision trees, overarching aims","10. Ensemble Methods: From a Single Tree to Many Trees and Extreme Boosting, Meet the Jungle of Methods","11. Basic ideas of the Principal Component Analysis (PCA)","13. Neural networks","7. Optimization, the central part of any Machine Learning algortithm","12. Clustering and Unsupervised Learning","Exercises week 34","Exercises week 35","Exercises week 36","Exercises week 37","Exercises week 38","Exercises week 39","Exercises week 41","Exercises week 42","Exercises weeks 43 and 44","Applied Data Analysis and Machine Learning","2. Linear Algebra, Handling of Arrays and more Python Features","Project 1 on Machine Learning, deadline October 9 (midnight), 2023","Project 2 on Machine Learning, deadline November 13 (Midnight)","Teaching schedule with links to material","1. Elements of Probability Theory and Statistical Data Analysis","Teachers and Grading","Textbooks","Week 34: Introduction to the course, Logistics and Practicalities","Week 35: From Ordinary Linear Regression to Ridge and Lasso Regression","Week 36: Statistical interpretation of Linear Regression and Resampling techniques","Week 37: Statistical interpretations and Resampling Methods","Week 38: Logistic Regression and Optimization","Week 39: Optimization and Gradient Methods","Week 40: Gradient descent methods (continued) and start Neural networks","Week 41 Neural networks and constructing a neural network code","Week 42 Constructing a Neural Network code with introduction to Tensor flow","Week 43: Deep Learning: Constructing a Neural Network code and solving differential 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\ No newline at end of file diff --git a/doc/LectureNotes/_build/html/week43.html b/doc/LectureNotes/_build/html/week43.html index 913e7b465..0641a2c9b 100644 --- a/doc/LectureNotes/_build/html/week43.html +++ b/doc/LectureNotes/_build/html/week43.html @@ -1519,7 +1519,7 @@ doconce format html week43.do.txt --no_mako --> -
Learning rate  =  0.0001
+
+Learning rate  =  0.0001
 Lambda =  10.0
 Accuracy score on data set:  0.5
 
@@ -2057,7 +2057,7 @@ Accuracy score on data set:  0.5
   warnings.warn(
-_images/week43_30_3.png +_images/week43_30_2.png @@ -6362,8 +6362,12 @@ case.

Adam: Eta=0.001, Lambda=0
-
-  [----------------------------------------] 0.000% | train_error: 12.9 | train_acc: 0.376 | val_error: 12.6 | val_acc: 0.392 
+
+
+

+
+
+
  [----------------------------------------] 0.000% | train_error: 12.9 | train_acc: 0.376 | val_error: 12.6 | val_acc: 0.392 
 
  [----------------------------------------] 0.1000% | train_error: 12.9 | train_acc: 0.376 | val_error: 12.6 | val_acc: 0.392 
@@ -10641,1768 +10645,17 @@ case.

 
  [===============>------------------------] 41.30% | train_error: 0.292 | train_acc: 0.986 | val_error: 2.32 | val_acc: 0.888 
 

 

-
  [===============>------------------------] 41.40% | train_error: 0.292 | train_acc: 0.986 | val_error: 2.46 | val_acc: 0.881 
+
Exception ignored in: <function Socket.__del__ at 0x1022cc0d0>
+Traceback (most recent call last):
+  File "/Users/mhjensen/miniforge3/envs/myenv/lib/python3.9/site-packages/zmq/sugar/socket.py", line 112, in __del__
+    warn(
+ResourceWarning: unclosed socket <zmq.Socket(zmq.PUSH) at 0x1635f5340>
 

 

-
  [===============>------------------------] 41.50% | train_error: 0.292 | train_acc: 0.986 | val_error: 2.32 | val_acc: 0.888 
+
                                                                                                                               
 

 

-
  [===============>------------------------] 41.60% | train_error: 0.292 | train_acc: 0.986 | val_error: 2.46 | val_acc: 0.881 
-

-

-
  [===============>------------------------] 41.70% | train_error: 0.292 | train_acc: 0.986 | val_error: 2.32 | val_acc: 0.888 
-

-

-
  [===============>------------------------] 41.80% | train_error: 0.292 | train_acc: 0.986 | val_error: 2.46 | val_acc: 0.881 
-

-

-
  [===============>------------------------] 41.90% | train_error: 0.292 | train_acc: 0.986 | val_error: 2.17 | val_acc: 0.895 
-

-

-
  [===============>------------------------] 42.00% | train_error: 0.292 | train_acc: 0.986 | val_error: 2.46 | val_acc: 0.881 
-

-

-
  [===============>------------------------] 42.10% | train_error: 0.292 | train_acc: 0.986 | val_error: 2.17 | val_acc: 0.895 
-

-

-
  [===============>------------------------] 42.20% | train_error: 0.292 | train_acc: 0.986 | val_error: 2.32 | val_acc: 0.888 
-

-

-
  [===============>------------------------] 42.30% | train_error: 0.292 | train_acc: 0.986 | val_error: 2.32 | val_acc: 0.888 
-

-

-
  [===============>------------------------] 42.40% | train_error: 0.292 | train_acc: 0.986 | val_error: 2.32 | val_acc: 0.888 
-

-

-
  [================>-----------------------] 42.50% | train_error: 0.292 | train_acc: 0.986 | val_error: 2.32 | val_acc: 0.888 
-

-

-
  [================>-----------------------] 42.60% | train_error: 0.292 | train_acc: 0.986 | val_error: 2.32 | val_acc: 0.888 
-

-

-
  [================>-----------------------] 42.70% | train_error: 0.292 | train_acc: 0.986 | val_error: 2.32 | val_acc: 0.888 
-

-

-
  [================>-----------------------] 42.80% | train_error: 0.292 | train_acc: 0.986 | val_error: 2.32 | val_acc: 0.888 
-

-

-
  [================>-----------------------] 42.90% | train_error: 0.292 | train_acc: 0.986 | val_error: 2.32 | val_acc: 0.888 
-

-

-
  [================>-----------------------] 43.00% | train_error: 0.292 | train_acc: 0.986 | val_error: 2.46 | val_acc: 0.881 
-

-

-
  [================>-----------------------] 43.10% | train_error: 0.292 | train_acc: 0.986 | val_error: 2.32 | val_acc: 0.888 
-

-

-
  [================>-----------------------] 43.20% | train_error: 0.292 | train_acc: 0.986 | val_error: 2.46 | val_acc: 0.881 
-

-

-
  [================>-----------------------] 43.30% | train_error: 0.292 | train_acc: 0.986 | val_error: 2.32 | val_acc: 0.888 
-

-

-
  [================>-----------------------] 43.40% | train_error: 0.292 | train_acc: 0.986 | val_error: 2.46 | val_acc: 0.881 
-

-

-
  [================>-----------------------] 43.50% | train_error: 0.292 | train_acc: 0.986 | val_error: 2.32 | val_acc: 0.888 
-

-

-
  [================>-----------------------] 43.60% | train_error: 0.292 | train_acc: 0.986 | val_error: 2.46 | val_acc: 0.881 
-

-

-
  [================>-----------------------] 43.70% | train_error: 0.292 | train_acc: 0.986 | val_error: 2.17 | val_acc: 0.895 
-

-

-
  [================>-----------------------] 43.80% | train_error: 0.292 | train_acc: 0.986 | val_error: 2.46 | val_acc: 0.881 
-

-

-
  [================>-----------------------] 43.90% | train_error: 0.243 | train_acc: 0.988 | val_error: 2.17 | val_acc: 0.895 
-

-

-
  [================>-----------------------] 44.00% | train_error: 0.292 | train_acc: 0.986 | val_error: 2.46 | val_acc: 0.881 
-

-

-
  [================>-----------------------] 44.10% | train_error: 0.243 | train_acc: 0.988 | val_error: 2.17 | val_acc: 0.895 
-

-

-
  [================>-----------------------] 44.20% | train_error: 0.292 | train_acc: 0.986 | val_error: 2.46 | val_acc: 0.881 
-

-

-
  [================>-----------------------] 44.30% | train_error: 0.243 | train_acc: 0.988 | val_error: 2.17 | val_acc: 0.895 
-

-

-
  [================>-----------------------] 44.40% | train_error: 0.292 | train_acc: 0.986 | val_error: 2.32 | val_acc: 0.888 
-

-

-
  [================>-----------------------] 44.50% | train_error: 0.243 | train_acc: 0.988 | val_error: 2.17 | val_acc: 0.895 
-

-

-
  [================>-----------------------] 44.60% | train_error: 0.243 | train_acc: 0.988 | val_error: 2.32 | val_acc: 0.888 
-

-

-
  [================>-----------------------] 44.70% | train_error: 0.243 | train_acc: 0.988 | val_error: 2.17 | val_acc: 0.895 
-

-

-
  [================>-----------------------] 44.80% | train_error: 0.243 | train_acc: 0.988 | val_error: 2.32 | val_acc: 0.888 
-

-

-
  [================>-----------------------] 44.90% | train_error: 0.243 | train_acc: 0.988 | val_error: 2.17 | val_acc: 0.895 
-

-

-
  [=================>----------------------] 45.00% | train_error: 0.243 | train_acc: 0.988 | val_error: 2.32 | val_acc: 0.888 
-

-

-
  [=================>----------------------] 45.10% | train_error: 0.243 | train_acc: 0.988 | val_error: 2.17 | val_acc: 0.895 
-

-

-
  [=================>----------------------] 45.20% | train_error: 0.195 | train_acc: 0.991 | val_error: 2.17 | val_acc: 0.895 
-

-

-
  [=================>----------------------] 45.30% | train_error: 0.243 | train_acc: 0.988 | val_error: 2.17 | val_acc: 0.895 
-

-

-
  [=================>----------------------] 45.40% | train_error: 0.195 | train_acc: 0.991 | val_error: 2.17 | val_acc: 0.895 
-

-

-
  [=================>----------------------] 45.50% | train_error: 0.243 | train_acc: 0.988 | val_error: 2.17 | val_acc: 0.895 
-

-

-
  [=================>----------------------] 45.60% | train_error: 0.195 | train_acc: 0.991 | val_error: 2.17 | val_acc: 0.895 
-

-

-
  [=================>----------------------] 45.70% | train_error: 0.243 | train_acc: 0.988 | val_error: 2.17 | val_acc: 0.895 
-

-

-
  [=================>----------------------] 45.80% | train_error: 0.195 | train_acc: 0.991 | val_error: 2.17 | val_acc: 0.895 
-

-

-
  [=================>----------------------] 45.90% | train_error: 0.195 | train_acc: 0.991 | val_error: 2.17 | val_acc: 0.895 
-

-

-
  [=================>----------------------] 46.00% | train_error: 0.195 | train_acc: 0.991 | val_error: 2.17 | val_acc: 0.895 
-

-

-
  [=================>----------------------] 46.10% | train_error: 0.195 | train_acc: 0.991 | val_error: 2.03 | val_acc: 0.902 
-

-

-
  [=================>----------------------] 46.20% | train_error: 0.195 | train_acc: 0.991 | val_error: 2.17 | val_acc: 0.895 
-

-

-
  [=================>----------------------] 46.30% | train_error: 0.195 | train_acc: 0.991 | val_error: 2.03 | val_acc: 0.902 
-

-

-
  [=================>----------------------] 46.40% | train_error: 0.195 | train_acc: 0.991 | val_error: 2.17 | val_acc: 0.895 
-

-

-
  [=================>----------------------] 46.50% | train_error: 0.195 | train_acc: 0.991 | val_error: 2.03 | val_acc: 0.902 
-

-

-
  [=================>----------------------] 46.60% | train_error: 0.195 | train_acc: 0.991 | val_error: 2.17 | val_acc: 0.895 
-

-

-
  [=================>----------------------] 46.70% | train_error: 0.195 | train_acc: 0.991 | val_error: 2.03 | val_acc: 0.902 
-

-

-
  [=================>----------------------] 46.80% | train_error: 0.195 | train_acc: 0.991 | val_error: 2.17 | val_acc: 0.895 
-

-

-
  [=================>----------------------] 46.90% | train_error: 0.195 | train_acc: 0.991 | val_error: 2.03 | val_acc: 0.902 
-

-

-
  [=================>----------------------] 47.00% | train_error: 0.146 | train_acc: 0.993 | val_error: 2.17 | val_acc: 0.895 
-

-

-
  [=================>----------------------] 47.10% | train_error: 0.195 | train_acc: 0.991 | val_error: 2.03 | val_acc: 0.902 
-

-

-
  [=================>----------------------] 47.20% | train_error: 0.146 | train_acc: 0.993 | val_error: 2.17 | val_acc: 0.895 
-

-

-
  [=================>----------------------] 47.30% | train_error: 0.195 | train_acc: 0.991 | val_error: 2.03 | val_acc: 0.902 
-

-

-
  [=================>----------------------] 47.40% | train_error: 0.146 | train_acc: 0.993 | val_error: 2.17 | val_acc: 0.895 
-

-

-
  [==================>---------------------] 47.50% | train_error: 0.195 | train_acc: 0.991 | val_error: 2.03 | val_acc: 0.902 
-

-

-
  [==================>---------------------] 47.60% | train_error: 0.146 | train_acc: 0.993 | val_error: 2.17 | val_acc: 0.895 
-

-

-
  [==================>---------------------] 47.70% | train_error: 0.195 | train_acc: 0.991 | val_error: 2.03 | val_acc: 0.902 
-

-

-
  [==================>---------------------] 47.80% | train_error: 0.146 | train_acc: 0.993 | val_error: 2.17 | val_acc: 0.895 
-

-

-
  [==================>---------------------] 47.90% | train_error: 0.146 | train_acc: 0.993 | val_error: 2.03 | val_acc: 0.902 
-

-

-
  [==================>---------------------] 48.00% | train_error: 0.146 | train_acc: 0.993 | val_error: 2.17 | val_acc: 0.895 
-

-

-
  [==================>---------------------] 48.10% | train_error: 0.146 | train_acc: 0.993 | val_error: 2.03 | val_acc: 0.902 
-

-

-
  [==================>---------------------] 48.20% | train_error: 0.146 | train_acc: 0.993 | val_error: 2.17 | val_acc: 0.895 
-

-

-
  [==================>---------------------] 48.30% | train_error: 0.146 | train_acc: 0.993 | val_error: 2.03 | val_acc: 0.902 
-

-

-
  [==================>---------------------] 48.40% | train_error: 0.146 | train_acc: 0.993 | val_error: 2.17 | val_acc: 0.895 
-

-

-
  [==================>---------------------] 48.50% | train_error: 0.146 | train_acc: 0.993 | val_error: 2.03 | val_acc: 0.902 
-

-

-
  [==================>---------------------] 48.60% | train_error: 0.146 | train_acc: 0.993 | val_error: 2.17 | val_acc: 0.895 
-

-

-
  [==================>---------------------] 48.70% | train_error: 0.146 | train_acc: 0.993 | val_error: 2.03 | val_acc: 0.902 
-

-

-
  [==================>---------------------] 48.80% | train_error: 0.146 | train_acc: 0.993 | val_error: 2.17 | val_acc: 0.895 
-

-

-
  [==================>---------------------] 48.90% | train_error: 0.0973 | train_acc: 0.995 | val_error: 2.03 | val_acc: 0.902 
-

-

-
  [==================>---------------------] 49.00% | train_error: 0.146 | train_acc: 0.993 | val_error: 2.17 | val_acc: 0.895 
-

-

-
  [==================>---------------------] 49.10% | train_error: 0.0973 | train_acc: 0.995 | val_error: 2.03 | val_acc: 0.902 
-

-

-
  [==================>---------------------] 49.20% | train_error: 0.146 | train_acc: 0.993 | val_error: 2.17 | val_acc: 0.895 
-

-

-
  [==================>---------------------] 49.30% | train_error: 0.0973 | train_acc: 0.995 | val_error: 2.03 | val_acc: 0.902 
-

-

-
  [==================>---------------------] 49.40% | train_error: 0.146 | train_acc: 0.993 | val_error: 2.17 | val_acc: 0.895 
-

-

-
  [==================>---------------------] 49.50% | train_error: 0.0973 | train_acc: 0.995 | val_error: 2.03 | val_acc: 0.902 
-

-

-
  [==================>---------------------] 49.60% | train_error: 0.0973 | train_acc: 0.995 | val_error: 2.17 | val_acc: 0.895 
-

-

-
  [==================>---------------------] 49.70% | train_error: 0.0973 | train_acc: 0.995 | val_error: 2.03 | val_acc: 0.902 
-

-

-
  [==================>---------------------] 49.80% | train_error: 0.0973 | train_acc: 0.995 | val_error: 2.17 | val_acc: 0.895 
-

-

-
  [==================>---------------------] 49.90% | train_error: 0.0973 | train_acc: 0.995 | val_error: 2.03 | val_acc: 0.902 
-

-

-
  [===================>--------------------] 50.00% | train_error: 0.0973 | train_acc: 0.995 | val_error: 2.17 | val_acc: 0.895 
-

-

-
  [===================>--------------------] 50.10% | train_error: 0.0973 | train_acc: 0.995 | val_error: 2.03 | val_acc: 0.902 
-

-

-
  [===================>--------------------] 50.20% | train_error: 0.0973 | train_acc: 0.995 | val_error: 2.17 | val_acc: 0.895 
-

-

-
  [===================>--------------------] 50.30% | train_error: 0.0973 | train_acc: 0.995 | val_error: 2.03 | val_acc: 0.902 
-

-

-
  [===================>--------------------] 50.40% | train_error: 0.0973 | train_acc: 0.995 | val_error: 2.17 | val_acc: 0.895 
-

-

-
  [===================>--------------------] 50.50% | train_error: 0.0973 | train_acc: 0.995 | val_error: 2.03 | val_acc: 0.902 
-

-

-
  [===================>--------------------] 50.60% | train_error: 0.0973 | train_acc: 0.995 | val_error: 2.17 | val_acc: 0.895 
-

-

-
  [===================>--------------------] 50.70% | train_error: 0.0973 | train_acc: 0.995 | val_error: 2.03 | val_acc: 0.902 
-

-

-
  [===================>--------------------] 50.80% | train_error: 0.0973 | train_acc: 0.995 | val_error: 2.17 | val_acc: 0.895 
-

-

-
  [===================>--------------------] 50.90% | train_error: 0.0973 | train_acc: 0.995 | val_error: 2.03 | val_acc: 0.902 
-

-

-
  [===================>--------------------] 51.00% | train_error: 0.0973 | train_acc: 0.995 | val_error: 2.17 | val_acc: 0.895 
-

-

-
  [===================>--------------------] 51.10% | train_error: 0.0973 | train_acc: 0.995 | val_error: 2.03 | val_acc: 0.902 
-

-

-
  [===================>--------------------] 51.20% | train_error: 0.0973 | train_acc: 0.995 | val_error: 2.17 | val_acc: 0.895 
-

-

-
  [===================>--------------------] 51.30% | train_error: 0.0973 | train_acc: 0.995 | val_error: 2.03 | val_acc: 0.902 
-

-

-
  [===================>--------------------] 51.40% | train_error: 0.0973 | train_acc: 0.995 | val_error: 2.17 | val_acc: 0.895 
-

-

-
  [===================>--------------------] 51.50% | train_error: 0.0973 | train_acc: 0.995 | val_error: 2.03 | val_acc: 0.902 
-

-

-
  [===================>--------------------] 51.60% | train_error: 0.0973 | train_acc: 0.995 | val_error: 2.17 | val_acc: 0.895 
-

-

-
  [===================>--------------------] 51.70% | train_error: 0.0973 | train_acc: 0.995 | val_error: 2.03 | val_acc: 0.902 
-

-

-
  [===================>--------------------] 51.80% | train_error: 0.0973 | train_acc: 0.995 | val_error: 2.17 | val_acc: 0.895 
-

-

-
  [===================>--------------------] 51.90% | train_error: 0.0973 | train_acc: 0.995 | val_error: 2.03 | val_acc: 0.902 
-

-

-
  [===================>--------------------] 52.00% | train_error: 0.0973 | train_acc: 0.995 | val_error: 2.17 | val_acc: 0.895 
-

-

-
  [===================>--------------------] 52.10% | train_error: 0.0973 | train_acc: 0.995 | val_error: 2.03 | val_acc: 0.902 
-

-

-
  [===================>--------------------] 52.20% | train_error: 0.0973 | train_acc: 0.995 | val_error: 2.03 | val_acc: 0.902 
-

-

-
  [===================>--------------------] 52.30% | train_error: 0.0973 | train_acc: 0.995 | val_error: 2.03 | val_acc: 0.902 
-

-

-
  [===================>--------------------] 52.40% | train_error: 0.0973 | train_acc: 0.995 | val_error: 2.03 | val_acc: 0.902 
-

-

-
  [====================>-------------------] 52.50% | train_error: 0.0973 | train_acc: 0.995 | val_error: 2.03 | val_acc: 0.902 
-

-

-
  [====================>-------------------] 52.60% | train_error: 0.0973 | train_acc: 0.995 | val_error: 2.03 | val_acc: 0.902 
-

-

-
  [====================>-------------------] 52.70% | train_error: 0.0973 | train_acc: 0.995 | val_error: 2.03 | val_acc: 0.902 
-

-

-
  [====================>-------------------] 52.80% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.88 | val_acc: 0.909 
-

-

-
  [====================>-------------------] 52.90% | train_error: 0.0973 | train_acc: 0.995 | val_error: 2.03 | val_acc: 0.902 
-

-

-
  [====================>-------------------] 53.00% | train_error: 0.0973 | train_acc: 0.995 | val_error: 2.03 | val_acc: 0.902 
-

-

-
  [====================>-------------------] 53.10% | train_error: 0.0973 | train_acc: 0.995 | val_error: 2.03 | val_acc: 0.902 
-

-

-
  [====================>-------------------] 53.20% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.88 | val_acc: 0.909 
-

-

-
  [====================>-------------------] 53.30% | train_error: 0.0973 | train_acc: 0.995 | val_error: 2.03 | val_acc: 0.902 
-

-

-
  [====================>-------------------] 53.40% | train_error: 0.0973 | train_acc: 0.995 | val_error: 2.03 | val_acc: 0.902 
-

-

-
  [====================>-------------------] 53.50% | train_error: 0.0973 | train_acc: 0.995 | val_error: 2.03 | val_acc: 0.902 
-

-

-
  [====================>-------------------] 53.60% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.88 | val_acc: 0.909 
-

-

-
  [====================>-------------------] 53.70% | train_error: 0.0973 | train_acc: 0.995 | val_error: 2.03 | val_acc: 0.902 
-

-

-
  [====================>-------------------] 53.80% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.88 | val_acc: 0.909 
-

-

-
  [====================>-------------------] 53.90% | train_error: 0.0973 | train_acc: 0.995 | val_error: 2.03 | val_acc: 0.902 
-

-

-
  [====================>-------------------] 54.00% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.88 | val_acc: 0.909 
-

-

-
  [====================>-------------------] 54.10% | train_error: 0.0973 | train_acc: 0.995 | val_error: 2.03 | val_acc: 0.902 
-

-

-
  [====================>-------------------] 54.20% | train_error: 0.0973 | train_acc: 0.995 | val_error: 2.03 | val_acc: 0.902 
-

-

-
  [====================>-------------------] 54.30% | train_error: 0.0973 | train_acc: 0.995 | val_error: 2.03 | val_acc: 0.902 
-

-

-
  [====================>-------------------] 54.40% | train_error: 0.0973 | train_acc: 0.995 | val_error: 2.03 | val_acc: 0.902 
-

-

-
  [====================>-------------------] 54.50% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.88 | val_acc: 0.909 
-

-

-
  [====================>-------------------] 54.60% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.88 | val_acc: 0.909 
-

-

-
  [====================>-------------------] 54.70% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.88 | val_acc: 0.909 
-

-

-
  [====================>-------------------] 54.80% | train_error: 0.0973 | train_acc: 0.995 | val_error: 2.03 | val_acc: 0.902 
-

-

-
  [====================>-------------------] 54.90% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.88 | val_acc: 0.909 
-

-

-
  [=====================>------------------] 55.00% | train_error: 0.0973 | train_acc: 0.995 | val_error: 2.03 | val_acc: 0.902 
-

-

-
  [=====================>------------------] 55.10% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.88 | val_acc: 0.909 
-

-

-
  [=====================>------------------] 55.20% | train_error: 0.0973 | train_acc: 0.995 | val_error: 2.03 | val_acc: 0.902 
-

-

-
  [=====================>------------------] 55.30% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.88 | val_acc: 0.909 
-

-

-
  [=====================>------------------] 55.40% | train_error: 0.0973 | train_acc: 0.995 | val_error: 2.03 | val_acc: 0.902 
-

-

-
  [=====================>------------------] 55.50% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.88 | val_acc: 0.909 
-

-

-
  [=====================>------------------] 55.60% | train_error: 0.0973 | train_acc: 0.995 | val_error: 2.03 | val_acc: 0.902 
-

-

-
  [=====================>------------------] 55.70% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.88 | val_acc: 0.909 
-

-

-
  [=====================>------------------] 55.80% | train_error: 0.0973 | train_acc: 0.995 | val_error: 2.03 | val_acc: 0.902 
-

-

-
  [=====================>------------------] 55.90% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.88 | val_acc: 0.909 
-

-

-
  [=====================>------------------] 56.00% | train_error: 0.0973 | train_acc: 0.995 | val_error: 2.03 | val_acc: 0.902 
-

-

-
  [=====================>------------------] 56.10% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.88 | val_acc: 0.909 
-

-

-
  [=====================>------------------] 56.20% | train_error: 0.0973 | train_acc: 0.995 | val_error: 2.03 | val_acc: 0.902 
-

-

-
  [=====================>------------------] 56.30% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.88 | val_acc: 0.909 
-

-

-
  [=====================>------------------] 56.40% | train_error: 0.0973 | train_acc: 0.995 | val_error: 2.03 | val_acc: 0.902 
-

-

-
  [=====================>------------------] 56.50% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.88 | val_acc: 0.909 
-

-

-
  [=====================>------------------] 56.60% | train_error: 0.0973 | train_acc: 0.995 | val_error: 2.03 | val_acc: 0.902 
-

-

-
  [=====================>------------------] 56.70% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.88 | val_acc: 0.909 
-

-

-
  [=====================>------------------] 56.80% | train_error: 0.0973 | train_acc: 0.995 | val_error: 2.03 | val_acc: 0.902 
-

-

-
  [=====================>------------------] 56.90% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.88 | val_acc: 0.909 
-

-

-
  [=====================>------------------] 57.00% | train_error: 0.0973 | train_acc: 0.995 | val_error: 2.03 | val_acc: 0.902 
-

-

-
  [=====================>------------------] 57.10% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.88 | val_acc: 0.909 
-

-

-
  [=====================>------------------] 57.20% | train_error: 0.0973 | train_acc: 0.995 | val_error: 2.03 | val_acc: 0.902 
-

-

-
  [=====================>------------------] 57.30% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.88 | val_acc: 0.909 
-

-

-
  [=====================>------------------] 57.40% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.88 | val_acc: 0.909 
-

-

-
  [======================>-----------------] 57.50% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.88 | val_acc: 0.909 
-

-

-
  [======================>-----------------] 57.60% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.88 | val_acc: 0.909 
-

-

-
  [======================>-----------------] 57.70% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.88 | val_acc: 0.909 
-

-

-
  [======================>-----------------] 57.80% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.88 | val_acc: 0.909 
-

-

-
  [======================>-----------------] 57.90% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.88 | val_acc: 0.909 
-

-

-
  [======================>-----------------] 58.00% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.88 | val_acc: 0.909 
-

-

-
  [======================>-----------------] 58.10% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.88 | val_acc: 0.909 
-

-

-
  [======================>-----------------] 58.20% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.88 | val_acc: 0.909 
-

-

-
  [======================>-----------------] 58.30% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.88 | val_acc: 0.909 
-

-

-
  [======================>-----------------] 58.40% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.88 | val_acc: 0.909 
-

-

-
  [======================>-----------------] 58.50% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.88 | val_acc: 0.909 
-

-

-
  [======================>-----------------] 58.60% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.88 | val_acc: 0.909 
-

-

-
  [======================>-----------------] 58.70% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.88 | val_acc: 0.909 
-

-

-
  [======================>-----------------] 58.80% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.88 | val_acc: 0.909 
-

-

-
  [======================>-----------------] 58.90% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.88 | val_acc: 0.909 
-

-

-
  [======================>-----------------] 59.00% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.88 | val_acc: 0.909 
-

-

-
  [======================>-----------------] 59.10% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.88 | val_acc: 0.909 
-

-

-
  [======================>-----------------] 59.20% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.88 | val_acc: 0.909 
-

-

-
  [======================>-----------------] 59.30% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.88 | val_acc: 0.909 
-

-

-
  [======================>-----------------] 59.40% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.88 | val_acc: 0.909 
-

-

-
  [======================>-----------------] 59.50% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.88 | val_acc: 0.909 
-

-

-
  [======================>-----------------] 59.60% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.88 | val_acc: 0.909 
-

-

-
  [======================>-----------------] 59.70% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.88 | val_acc: 0.909 
-

-

-
  [======================>-----------------] 59.80% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.88 | val_acc: 0.909 
-

-

-
  [======================>-----------------] 59.90% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.88 | val_acc: 0.909 
-

-

-
  [=======================>----------------] 60.00% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.88 | val_acc: 0.909 
-

-

-
  [=======================>----------------] 60.10% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.88 | val_acc: 0.909 
-

-

-
  [=======================>----------------] 60.20% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.88 | val_acc: 0.909 
-

-

-
  [=======================>----------------] 60.30% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.88 | val_acc: 0.909 
-

-

-
  [=======================>----------------] 60.40% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.88 | val_acc: 0.909 
-

-

-
  [=======================>----------------] 60.50% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.88 | val_acc: 0.909 
-

-

-
  [=======================>----------------] 60.60% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.88 | val_acc: 0.909 
-

-

-
  [=======================>----------------] 60.70% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.88 | val_acc: 0.909 
-

-

-
  [=======================>----------------] 60.80% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.88 | val_acc: 0.909 
-

-

-
  [=======================>----------------] 60.90% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.88 | val_acc: 0.909 
-

-

-
  [=======================>----------------] 61.00% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.88 | val_acc: 0.909 
-

-

-
  [=======================>----------------] 61.10% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.88 | val_acc: 0.909 
-

-

-
  [=======================>----------------] 61.20% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.88 | val_acc: 0.909 
-

-

-
  [=======================>----------------] 61.30% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.88 | val_acc: 0.909 
-

-

-
  [=======================>----------------] 61.40% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.88 | val_acc: 0.909 
-

-

-
  [=======================>----------------] 61.50% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.88 | val_acc: 0.909 
-

-

-
  [=======================>----------------] 61.60% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.88 | val_acc: 0.909 
-

-

-
  [=======================>----------------] 61.70% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.88 | val_acc: 0.909 
-

-

-
  [=======================>----------------] 61.80% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.88 | val_acc: 0.909 
-

-

-
  [=======================>----------------] 61.90% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.88 | val_acc: 0.909 
-

-

-
  [=======================>----------------] 62.00% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.88 | val_acc: 0.909 
-

-

-
  [=======================>----------------] 62.10% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.88 | val_acc: 0.909 
-

-

-
  [=======================>----------------] 62.20% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.88 | val_acc: 0.909 
-

-

-
  [=======================>----------------] 62.30% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.88 | val_acc: 0.909 
-

-

-
  [=======================>----------------] 62.40% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.88 | val_acc: 0.909 
-

-

-
  [========================>---------------] 62.50% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.88 | val_acc: 0.909 
-

-

-
  [========================>---------------] 62.60% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.88 | val_acc: 0.909 
-

-

-
  [========================>---------------] 62.70% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.88 | val_acc: 0.909 
-

-

-
  [========================>---------------] 62.80% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.88 | val_acc: 0.909 
-

-

-
  [========================>---------------] 62.90% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.88 | val_acc: 0.909 
-

-

-
  [========================>---------------] 63.00% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.88 | val_acc: 0.909 
-

-

-
  [========================>---------------] 63.10% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.88 | val_acc: 0.909 
-

-

-
  [========================>---------------] 63.20% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.88 | val_acc: 0.909 
-

-

-
  [========================>---------------] 63.30% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.88 | val_acc: 0.909 
-

-

-
  [========================>---------------] 63.40% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.88 | val_acc: 0.909 
-

-

-
  [========================>---------------] 63.50% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.88 | val_acc: 0.909 
-

-

-
  [========================>---------------] 63.60% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.88 | val_acc: 0.909 
-

-

-
  [========================>---------------] 63.70% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.88 | val_acc: 0.909 
-

-

-
  [========================>---------------] 63.80% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.88 | val_acc: 0.909 
-

-

-
  [========================>---------------] 63.90% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [========================>---------------] 64.00% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.88 | val_acc: 0.909 
-

-

-
  [========================>---------------] 64.10% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [========================>---------------] 64.20% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.88 | val_acc: 0.909 
-

-

-
  [========================>---------------] 64.30% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [========================>---------------] 64.40% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.88 | val_acc: 0.909 
-

-

-
  [========================>---------------] 64.50% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [========================>---------------] 64.60% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.88 | val_acc: 0.909 
-

-

-
  [========================>---------------] 64.70% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [========================>---------------] 64.80% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.88 | val_acc: 0.909 
-

-

-
  [========================>---------------] 64.90% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [=========================>--------------] 65.00% | train_error: 0.146 | train_acc: 0.993 | val_error: 1.88 | val_acc: 0.909 
-

-

-
  [=========================>--------------] 65.10% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [=========================>--------------] 65.20% | train_error: 0.146 | train_acc: 0.993 | val_error: 1.88 | val_acc: 0.909 
-

-

-
  [=========================>--------------] 65.30% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [=========================>--------------] 65.40% | train_error: 0.146 | train_acc: 0.993 | val_error: 1.88 | val_acc: 0.909 
-

-

-
  [=========================>--------------] 65.50% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [=========================>--------------] 65.60% | train_error: 0.146 | train_acc: 0.993 | val_error: 1.88 | val_acc: 0.909 
-

-

-
  [=========================>--------------] 65.70% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [=========================>--------------] 65.80% | train_error: 0.146 | train_acc: 0.993 | val_error: 1.88 | val_acc: 0.909 
-

-

-
  [=========================>--------------] 65.90% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [=========================>--------------] 66.00% | train_error: 0.146 | train_acc: 0.993 | val_error: 1.88 | val_acc: 0.909 
-

-

-
  [=========================>--------------] 66.10% | train_error: 0.0486 | train_acc: 0.998 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [=========================>--------------] 66.20% | train_error: 0.146 | train_acc: 0.993 | val_error: 1.88 | val_acc: 0.909 
-

-

-
  [=========================>--------------] 66.30% | train_error: 0.0486 | train_acc: 0.998 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [=========================>--------------] 66.40% | train_error: 0.146 | train_acc: 0.993 | val_error: 1.88 | val_acc: 0.909 
-

-

-
  [=========================>--------------] 66.50% | train_error: 0.0486 | train_acc: 0.998 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [=========================>--------------] 66.60% | train_error: 0.146 | train_acc: 0.993 | val_error: 1.88 | val_acc: 0.909 
-

-

-
  [=========================>--------------] 66.70% | train_error: 0.0486 | train_acc: 0.998 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [=========================>--------------] 66.80% | train_error: 0.146 | train_acc: 0.993 | val_error: 1.88 | val_acc: 0.909 
-

-

-
  [=========================>--------------] 66.90% | train_error: 0.0486 | train_acc: 0.998 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [=========================>--------------] 67.00% | train_error: 0.146 | train_acc: 0.993 | val_error: 1.88 | val_acc: 0.909 
-

-

-
  [=========================>--------------] 67.10% | train_error: 0.0486 | train_acc: 0.998 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [=========================>--------------] 67.20% | train_error: 0.146 | train_acc: 0.993 | val_error: 1.88 | val_acc: 0.909 
-

-

-
  [=========================>--------------] 67.30% | train_error: 0.0486 | train_acc: 0.998 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [=========================>--------------] 67.40% | train_error: 0.146 | train_acc: 0.993 | val_error: 1.88 | val_acc: 0.909 
-

-

-
  [==========================>-------------] 67.50% | train_error: 0.0486 | train_acc: 0.998 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [==========================>-------------] 67.60% | train_error: 0.146 | train_acc: 0.993 | val_error: 1.88 | val_acc: 0.909 
-

-

-
  [==========================>-------------] 67.70% | train_error: 0.0486 | train_acc: 0.998 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [==========================>-------------] 67.80% | train_error: 0.146 | train_acc: 0.993 | val_error: 1.88 | val_acc: 0.909 
-

-

-
  [==========================>-------------] 67.90% | train_error: 0.0486 | train_acc: 0.998 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [==========================>-------------] 68.00% | train_error: 0.146 | train_acc: 0.993 | val_error: 1.88 | val_acc: 0.909 
-

-

-
  [==========================>-------------] 68.10% | train_error: 0.0486 | train_acc: 0.998 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [==========================>-------------] 68.20% | train_error: 0.146 | train_acc: 0.993 | val_error: 1.88 | val_acc: 0.909 
-

-

-
  [==========================>-------------] 68.30% | train_error: 0.0486 | train_acc: 0.998 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [==========================>-------------] 68.40% | train_error: 0.146 | train_acc: 0.993 | val_error: 1.88 | val_acc: 0.909 
-

-

-
  [==========================>-------------] 68.50% | train_error: 0.0486 | train_acc: 0.998 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [==========================>-------------] 68.60% | train_error: 0.146 | train_acc: 0.993 | val_error: 1.88 | val_acc: 0.909 
-

-

-
  [==========================>-------------] 68.70% | train_error: 0.0486 | train_acc: 0.998 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [==========================>-------------] 68.80% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.88 | val_acc: 0.909 
-

-

-
  [==========================>-------------] 68.90% | train_error: 0.0486 | train_acc: 0.998 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [==========================>-------------] 69.00% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.88 | val_acc: 0.909 
-

-

-
  [==========================>-------------] 69.10% | train_error: 0.0486 | train_acc: 0.998 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [==========================>-------------] 69.20% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.88 | val_acc: 0.909 
-

-

-
  [==========================>-------------] 69.30% | train_error: 0.0486 | train_acc: 0.998 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [==========================>-------------] 69.40% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.88 | val_acc: 0.909 
-

-

-
  [==========================>-------------] 69.50% | train_error: 0.0486 | train_acc: 0.998 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [==========================>-------------] 69.60% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.88 | val_acc: 0.909 
-

-

-
  [==========================>-------------] 69.70% | train_error: 0.0486 | train_acc: 0.998 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [==========================>-------------] 69.80% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.88 | val_acc: 0.909 
-

-

-
  [==========================>-------------] 69.90% | train_error: 0.0486 | train_acc: 0.998 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [===========================>------------] 70.00% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [===========================>------------] 70.10% | train_error: 0.0486 | train_acc: 0.998 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [===========================>------------] 70.20% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [===========================>------------] 70.30% | train_error: 0.0486 | train_acc: 0.998 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [===========================>------------] 70.40% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [===========================>------------] 70.50% | train_error: 0.0486 | train_acc: 0.998 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [===========================>------------] 70.60% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [===========================>------------] 70.70% | train_error: 0.0486 | train_acc: 0.998 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [===========================>------------] 70.80% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [===========================>------------] 70.90% | train_error: 0.0486 | train_acc: 0.998 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [===========================>------------] 71.00% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [===========================>------------] 71.10% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [===========================>------------] 71.20% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [===========================>------------] 71.30% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [===========================>------------] 71.40% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [===========================>------------] 71.50% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [===========================>------------] 71.60% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [===========================>------------] 71.70% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [===========================>------------] 71.80% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [===========================>------------] 71.90% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [===========================>------------] 72.00% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [===========================>------------] 72.10% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [===========================>------------] 72.20% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [===========================>------------] 72.30% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [===========================>------------] 72.40% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [============================>-----------] 72.50% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [============================>-----------] 72.60% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [============================>-----------] 72.70% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [============================>-----------] 72.80% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [============================>-----------] 72.90% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [============================>-----------] 73.00% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [============================>-----------] 73.10% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [============================>-----------] 73.20% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [============================>-----------] 73.30% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [============================>-----------] 73.40% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [============================>-----------] 73.50% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [============================>-----------] 73.60% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [============================>-----------] 73.70% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [============================>-----------] 73.80% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [============================>-----------] 73.90% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [============================>-----------] 74.00% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [============================>-----------] 74.10% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [============================>-----------] 74.20% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [============================>-----------] 74.30% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [============================>-----------] 74.40% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [============================>-----------] 74.50% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [============================>-----------] 74.60% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [============================>-----------] 74.70% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [============================>-----------] 74.80% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [============================>-----------] 74.90% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [=============================>----------] 75.00% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [=============================>----------] 75.10% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [=============================>----------] 75.20% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [=============================>----------] 75.30% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [=============================>----------] 75.40% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [=============================>----------] 75.50% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [=============================>----------] 75.60% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [=============================>----------] 75.70% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [=============================>----------] 75.80% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [=============================>----------] 75.90% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [=============================>----------] 76.00% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [=============================>----------] 76.10% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [=============================>----------] 76.20% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [=============================>----------] 76.30% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [=============================>----------] 76.40% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [=============================>----------] 76.50% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [=============================>----------] 76.60% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [=============================>----------] 76.70% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [=============================>----------] 76.80% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [=============================>----------] 76.90% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [=============================>----------] 77.00% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [=============================>----------] 77.10% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.59 | val_acc: 0.923 
-

-

-
  [=============================>----------] 77.20% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [=============================>----------] 77.30% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.59 | val_acc: 0.923 
-

-

-
  [=============================>----------] 77.40% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [==============================>---------] 77.50% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.59 | val_acc: 0.923 
-

-

-
  [==============================>---------] 77.60% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [==============================>---------] 77.70% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.59 | val_acc: 0.923 
-

-

-
  [==============================>---------] 77.80% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [==============================>---------] 77.90% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.59 | val_acc: 0.923 
-

-

-
  [==============================>---------] 78.00% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [==============================>---------] 78.10% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.59 | val_acc: 0.923 
-

-

-
  [==============================>---------] 78.20% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [==============================>---------] 78.30% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.59 | val_acc: 0.923 
-

-

-
  [==============================>---------] 78.40% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [==============================>---------] 78.50% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.59 | val_acc: 0.923 
-

-

-
  [==============================>---------] 78.60% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [==============================>---------] 78.70% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.59 | val_acc: 0.923 
-

-

-
  [==============================>---------] 78.80% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [==============================>---------] 78.90% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.59 | val_acc: 0.923 
-

-

-
  [==============================>---------] 79.00% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [==============================>---------] 79.10% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.59 | val_acc: 0.923 
-

-

-
  [==============================>---------] 79.20% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [==============================>---------] 79.30% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.59 | val_acc: 0.923 
-

-

-
  [==============================>---------] 79.40% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [==============================>---------] 79.50% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.59 | val_acc: 0.923 
-

-

-
  [==============================>---------] 79.60% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [==============================>---------] 79.70% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.59 | val_acc: 0.923 
-

-

-
  [==============================>---------] 79.80% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [==============================>---------] 79.90% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.59 | val_acc: 0.923 
-

-

-
  [===============================>--------] 80.00% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [===============================>--------] 80.10% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.59 | val_acc: 0.923 
-

-

-
  [===============================>--------] 80.20% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [===============================>--------] 80.30% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.59 | val_acc: 0.923 
-

-

-
  [===============================>--------] 80.40% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [===============================>--------] 80.50% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.59 | val_acc: 0.923 
-

-

-
  [===============================>--------] 80.60% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [===============================>--------] 80.70% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.59 | val_acc: 0.923 
-

-

-
  [===============================>--------] 80.80% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [===============================>--------] 80.90% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.59 | val_acc: 0.923 
-

-

-
  [===============================>--------] 81.00% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [===============================>--------] 81.10% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.59 | val_acc: 0.923 
-

-

-
  [===============================>--------] 81.20% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [===============================>--------] 81.30% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.59 | val_acc: 0.923 
-

-

-
  [===============================>--------] 81.40% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [===============================>--------] 81.50% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.59 | val_acc: 0.923 
-

-

-
  [===============================>--------] 81.60% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [===============================>--------] 81.70% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.59 | val_acc: 0.923 
-

-

-
  [===============================>--------] 81.80% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [===============================>--------] 81.90% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.59 | val_acc: 0.923 
-

-

-
  [===============================>--------] 82.00% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [===============================>--------] 82.10% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.59 | val_acc: 0.923 
-

-

-
  [===============================>--------] 82.20% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [===============================>--------] 82.30% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.59 | val_acc: 0.923 
-

-

-
  [===============================>--------] 82.40% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [================================>-------] 82.50% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.59 | val_acc: 0.923 
-

-

-
  [================================>-------] 82.60% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [================================>-------] 82.70% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.59 | val_acc: 0.923 
-

-

-
  [================================>-------] 82.80% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [================================>-------] 82.90% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.59 | val_acc: 0.923 
-

-

-
  [================================>-------] 83.00% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [================================>-------] 83.10% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.59 | val_acc: 0.923 
-

-

-
  [================================>-------] 83.20% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [================================>-------] 83.30% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.59 | val_acc: 0.923 
-

-

-
  [================================>-------] 83.40% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [================================>-------] 83.50% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.59 | val_acc: 0.923 
-

-

-
  [================================>-------] 83.60% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [================================>-------] 83.70% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.59 | val_acc: 0.923 
-

-

-
  [================================>-------] 83.80% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [================================>-------] 83.90% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.59 | val_acc: 0.923 
-

-

-
  [================================>-------] 84.00% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [================================>-------] 84.10% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.59 | val_acc: 0.923 
-

-

-
  [================================>-------] 84.20% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [================================>-------] 84.30% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.59 | val_acc: 0.923 
-

-

-
  [================================>-------] 84.40% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [================================>-------] 84.50% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.59 | val_acc: 0.923 
-

-

-
  [================================>-------] 84.60% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [================================>-------] 84.70% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.59 | val_acc: 0.923 
-

-

-
  [================================>-------] 84.80% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [================================>-------] 84.90% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.59 | val_acc: 0.923 
-

-

-
  [=================================>------] 85.00% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [=================================>------] 85.10% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.59 | val_acc: 0.923 
-

-

-
  [=================================>------] 85.20% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [=================================>------] 85.30% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.59 | val_acc: 0.923 
-

-

-
  [=================================>------] 85.40% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [=================================>------] 85.50% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.59 | val_acc: 0.923 
-

-

-
  [=================================>------] 85.60% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [=================================>------] 85.70% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.59 | val_acc: 0.923 
-

-

-
  [=================================>------] 85.80% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [=================================>------] 85.90% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.59 | val_acc: 0.923 
-

-

-
  [=================================>------] 86.00% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [=================================>------] 86.10% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.59 | val_acc: 0.923 
-

-

-
  [=================================>------] 86.20% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [=================================>------] 86.30% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.59 | val_acc: 0.923 
-

-

-
  [=================================>------] 86.40% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [=================================>------] 86.50% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.59 | val_acc: 0.923 
-

-

-
  [=================================>------] 86.60% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [=================================>------] 86.70% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.59 | val_acc: 0.923 
-

-

-
  [=================================>------] 86.80% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [=================================>------] 86.90% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.59 | val_acc: 0.923 
-

-

-
  [=================================>------] 87.00% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [=================================>------] 87.10% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.59 | val_acc: 0.923 
-

-

-
  [=================================>------] 87.20% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [=================================>------] 87.30% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.59 | val_acc: 0.923 
-

-

-
  [=================================>------] 87.40% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [==================================>-----] 87.50% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.59 | val_acc: 0.923 
-

-

-
  [==================================>-----] 87.60% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [==================================>-----] 87.70% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.59 | val_acc: 0.923 
-

-

-
  [==================================>-----] 87.80% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [==================================>-----] 87.90% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.59 | val_acc: 0.923 
-

-

-
  [==================================>-----] 88.00% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [==================================>-----] 88.10% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.59 | val_acc: 0.923 
-

-

-
  [==================================>-----] 88.20% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [==================================>-----] 88.30% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.59 | val_acc: 0.923 
-

-

-
  [==================================>-----] 88.40% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [==================================>-----] 88.50% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.59 | val_acc: 0.923 
-

-

-
  [==================================>-----] 88.60% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [==================================>-----] 88.70% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.59 | val_acc: 0.923 
-

-

-
  [==================================>-----] 88.80% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [==================================>-----] 88.90% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.59 | val_acc: 0.923 
-

-

-
  [==================================>-----] 89.00% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [==================================>-----] 89.10% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.59 | val_acc: 0.923 
-

-

-
  [==================================>-----] 89.20% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [==================================>-----] 89.30% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.59 | val_acc: 0.923 
-

-

-
  [==================================>-----] 89.40% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [==================================>-----] 89.50% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.59 | val_acc: 0.923 
-

-

-
  [==================================>-----] 89.60% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [==================================>-----] 89.70% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.59 | val_acc: 0.923 
-

-

-
  [==================================>-----] 89.80% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [==================================>-----] 89.90% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.59 | val_acc: 0.923 
-

-

-
  [===================================>----] 90.00% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [===================================>----] 90.10% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [===================================>----] 90.20% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [===================================>----] 90.30% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [===================================>----] 90.40% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [===================================>----] 90.50% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [===================================>----] 90.60% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [===================================>----] 90.70% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [===================================>----] 90.80% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [===================================>----] 90.90% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [===================================>----] 91.00% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [===================================>----] 91.10% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [===================================>----] 91.20% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [===================================>----] 91.30% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [===================================>----] 91.40% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [===================================>----] 91.50% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [===================================>----] 91.60% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [===================================>----] 91.70% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [===================================>----] 91.80% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [===================================>----] 91.90% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [===================================>----] 92.00% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [===================================>----] 92.10% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [===================================>----] 92.20% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [===================================>----] 92.30% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [===================================>----] 92.40% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [====================================>---] 92.50% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [====================================>---] 92.60% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [====================================>---] 92.70% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [====================================>---] 92.80% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [====================================>---] 92.90% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [====================================>---] 93.00% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [====================================>---] 93.10% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [====================================>---] 93.20% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [====================================>---] 93.30% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [====================================>---] 93.40% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [====================================>---] 93.50% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [====================================>---] 93.60% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [====================================>---] 93.70% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [====================================>---] 93.80% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [====================================>---] 93.90% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [====================================>---] 94.00% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [====================================>---] 94.10% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [====================================>---] 94.20% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [====================================>---] 94.30% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [====================================>---] 94.40% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [====================================>---] 94.50% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [====================================>---] 94.60% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [====================================>---] 94.70% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [====================================>---] 94.80% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [====================================>---] 94.90% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [=====================================>--] 95.00% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [=====================================>--] 95.10% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [=====================================>--] 95.20% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [=====================================>--] 95.30% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [=====================================>--] 95.40% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [=====================================>--] 95.50% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [=====================================>--] 95.60% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [=====================================>--] 95.70% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [=====================================>--] 95.80% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [=====================================>--] 95.90% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [=====================================>--] 96.00% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [=====================================>--] 96.10% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [=====================================>--] 96.20% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [=====================================>--] 96.30% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [=====================================>--] 96.40% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [=====================================>--] 96.50% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [=====================================>--] 96.60% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [=====================================>--] 96.70% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [=====================================>--] 96.80% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [=====================================>--] 96.90% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [=====================================>--] 97.00% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [=====================================>--] 97.10% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [=====================================>--] 97.20% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [=====================================>--] 97.30% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [=====================================>--] 97.40% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [======================================>-] 97.50% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [======================================>-] 97.60% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [======================================>-] 97.70% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [======================================>-] 97.80% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [======================================>-] 97.90% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [======================================>-] 98.00% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [======================================>-] 98.10% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [======================================>-] 98.20% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [======================================>-] 98.30% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [======================================>-] 98.40% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [======================================>-] 98.50% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [======================================>-] 98.60% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [======================================>-] 98.70% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [======================================>-] 98.80% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [======================================>-] 98.90% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [======================================>-] 99.00% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [======================================>-] 99.10% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [======================================>-] 99.20% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [======================================>-] 99.30% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [======================================>-] 99.40% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [======================================>-] 99.50% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [======================================>-] 99.60% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [======================================>-] 99.70% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [======================================>-] 99.80% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
  [======================================>-] 99.90% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
-

-

-
                                                                                                                                
-

-

-
  [=======================================>] 100.0% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 
+
  [=======================================>] 100.0% 
 

 

 

@@ -12444,3017 +10697,6 @@ digits between the range of 0 to 9.

 

 

 

-

-
Adam: Eta=0.0001, Lambda=0
-

-

-
  [----------------------------------------] 0.000% | train_error: 1.83 | train_acc: 0.823 
-

-

-
  [----------------------------------------] 0.1000% | train_error: 1.83 | train_acc: 0.823 
-

-

-
  [----------------------------------------] 0.2000% | train_error: 1.83 | train_acc: 0.823 
-

-

-
  [----------------------------------------] 0.3000% | train_error: 1.83 | train_acc: 0.823 
-

-

-
  [----------------------------------------] 0.4000% | train_error: 1.83 | train_acc: 0.823 
-

-

-
  [----------------------------------------] 0.5000% | train_error: 1.83 | train_acc: 0.823 
-

-

-
  [----------------------------------------] 0.6000% | train_error: 1.83 | train_acc: 0.824 
-

-

-
  [----------------------------------------] 0.7000% | train_error: 1.83 | train_acc: 0.824 
-

-

-
  [----------------------------------------] 0.8000% | train_error: 1.83 | train_acc: 0.824 
-

-

-
  [----------------------------------------] 0.9000% | train_error: 1.83 | train_acc: 0.824 
-

-

-
  [----------------------------------------] 1.000% | train_error: 1.83 | train_acc: 0.824 
-

-

-
  [----------------------------------------] 1.100% | train_error: 1.83 | train_acc: 0.824 
-

-

-
  [----------------------------------------] 1.200% | train_error: 1.83 | train_acc: 0.824 
-

-

-
  [----------------------------------------] 1.300% | train_error: 1.83 | train_acc: 0.824 
-

-

-
  [----------------------------------------] 1.400% | train_error: 1.83 | train_acc: 0.824 
-

-

-
  [----------------------------------------] 1.500% | train_error: 1.82 | train_acc: 0.824 
-

-

-
  [----------------------------------------] 1.600% | train_error: 1.83 | train_acc: 0.824 
-

-

-
  [----------------------------------------] 1.700% | train_error: 1.83 | train_acc: 0.824 
-

-

-
  [----------------------------------------] 1.800% | train_error: 1.83 | train_acc: 0.824 
-

-

-
  [----------------------------------------] 1.900% | train_error: 1.82 | train_acc: 0.824 
-

-

-
  [----------------------------------------] 2.000% | train_error: 1.82 | train_acc: 0.824 
-

-

-
  [----------------------------------------] 2.100% | train_error: 1.82 | train_acc: 0.824 
-

-

-
  [----------------------------------------] 2.200% | train_error: 1.82 | train_acc: 0.824 
-

-

-
  [----------------------------------------] 2.300% | train_error: 1.82 | train_acc: 0.824 
-

-

-
  [----------------------------------------] 2.400% | train_error: 1.82 | train_acc: 0.824 
-

-

-
  [>---------------------------------------] 2.500% | train_error: 1.82 | train_acc: 0.824 
-

-

-
  [>---------------------------------------] 2.600% | train_error: 1.83 | train_acc: 0.824 
-

-

-
  [>---------------------------------------] 2.700% | train_error: 1.83 | train_acc: 0.824 
-

-

-
  [>---------------------------------------] 2.800% | train_error: 1.83 | train_acc: 0.824 
-

-

-
  [>---------------------------------------] 2.900% | train_error: 1.82 | train_acc: 0.824 
-

-

-
  [>---------------------------------------] 3.000% | train_error: 1.82 | train_acc: 0.824 
-

-

-
  [>---------------------------------------] 3.100% | train_error: 1.82 | train_acc: 0.824 
-

-

-
  [>---------------------------------------] 3.200% | train_error: 1.82 | train_acc: 0.824 
-

-

-
  [>---------------------------------------] 3.300% | train_error: 1.82 | train_acc: 0.824 
-

-

-
  [>---------------------------------------] 3.400% | train_error: 1.82 | train_acc: 0.824 
-

-

-
  [>---------------------------------------] 3.500% | train_error: 1.82 | train_acc: 0.824 
-

-

-
  [>---------------------------------------] 3.600% | train_error: 1.82 | train_acc: 0.824 
-

-

-
  [>---------------------------------------] 3.700% | train_error: 1.82 | train_acc: 0.824 
-

-

-
  [>---------------------------------------] 3.800% | train_error: 1.82 | train_acc: 0.824 
-

-

-
  [>---------------------------------------] 3.900% | train_error: 1.82 | train_acc: 0.824 
-

-

-
  [>---------------------------------------] 4.000% | train_error: 1.82 | train_acc: 0.824 
-

-

-
  [>---------------------------------------] 4.100% | train_error: 1.83 | train_acc: 0.824 
-

-

-
  [>---------------------------------------] 4.200% | train_error: 1.83 | train_acc: 0.824 
-

-

-
  [>---------------------------------------] 4.300% | train_error: 1.83 | train_acc: 0.824 
-

-

-
  [>---------------------------------------] 4.400% | train_error: 1.83 | train_acc: 0.823 
-

-

-
  [>---------------------------------------] 4.500% | train_error: 1.83 | train_acc: 0.823 
-

-

-
  [>---------------------------------------] 4.600% | train_error: 1.83 | train_acc: 0.823 
-

-

-
  [>---------------------------------------] 4.700% | train_error: 1.83 | train_acc: 0.823 
-

-

-
  [>---------------------------------------] 4.800% | train_error: 1.83 | train_acc: 0.823 
-

-

-
  [>---------------------------------------] 4.900% | train_error: 1.83 | train_acc: 0.823 
-

-

-
  [=>--------------------------------------] 5.000% | train_error: 1.83 | train_acc: 0.823 
-

-

-
  [=>--------------------------------------] 5.100% | train_error: 1.83 | train_acc: 0.823 
-

-

-
  [=>--------------------------------------] 5.200% | train_error: 1.83 | train_acc: 0.823 
-

-

-
  [=>--------------------------------------] 5.300% | train_error: 1.83 | train_acc: 0.823 
-

-

-
  [=>--------------------------------------] 5.400% | train_error: 1.83 | train_acc: 0.823 
-

-

-
  [=>--------------------------------------] 5.500% | train_error: 1.84 | train_acc: 0.823 
-

-

-
  [=>--------------------------------------] 5.600% | train_error: 1.84 | train_acc: 0.823 
-

-

-
  [=>--------------------------------------] 5.700% | train_error: 1.84 | train_acc: 0.822 
-

-

-
  [=>--------------------------------------] 5.800% | train_error: 1.84 | train_acc: 0.822 
-

-

-
  [=>--------------------------------------] 5.900% | train_error: 1.84 | train_acc: 0.822 
-

-

-
  [=>--------------------------------------] 6.000% | train_error: 1.84 | train_acc: 0.823 
-

-

-
  [=>--------------------------------------] 6.100% | train_error: 1.84 | train_acc: 0.823 
-

-

-
  [=>--------------------------------------] 6.200% | train_error: 1.84 | train_acc: 0.823 
-

-

-
  [=>--------------------------------------] 6.300% | train_error: 1.84 | train_acc: 0.823 
-

-

-
  [=>--------------------------------------] 6.400% | train_error: 1.84 | train_acc: 0.823 
-

-

-
  [=>--------------------------------------] 6.500% | train_error: 1.84 | train_acc: 0.823 
-

-

-
  [=>--------------------------------------] 6.600% | train_error: 1.84 | train_acc: 0.823 
-

-

-
  [=>--------------------------------------] 6.700% | train_error: 1.84 | train_acc: 0.823 
-

-

-
  [=>--------------------------------------] 6.800% | train_error: 1.84 | train_acc: 0.822 
-

-

-
  [=>--------------------------------------] 6.900% | train_error: 1.85 | train_acc: 0.822 
-

-

-
  [=>--------------------------------------] 7.000% | train_error: 1.85 | train_acc: 0.822 
-

-

-
  [=>--------------------------------------] 7.100% | train_error: 1.85 | train_acc: 0.821 
-

-

-
  [=>--------------------------------------] 7.200% | train_error: 1.85 | train_acc: 0.821 
-

-

-
  [=>--------------------------------------] 7.300% | train_error: 1.85 | train_acc: 0.821 
-

-

-
  [=>--------------------------------------] 7.400% | train_error: 1.85 | train_acc: 0.821 
-

-

-
  [==>-------------------------------------] 7.500% | train_error: 1.86 | train_acc: 0.821 
-

-

-
  [==>-------------------------------------] 7.600% | train_error: 1.86 | train_acc: 0.820 
-

-

-
  [==>-------------------------------------] 7.700% | train_error: 1.86 | train_acc: 0.820 
-

-

-
  [==>-------------------------------------] 7.800% | train_error: 1.86 | train_acc: 0.820 
-

-

-
  [==>-------------------------------------] 7.900% | train_error: 1.86 | train_acc: 0.820 
-

-

-
  [==>-------------------------------------] 8.000% | train_error: 1.86 | train_acc: 0.820 
-

-

-
  [==>-------------------------------------] 8.100% | train_error: 1.86 | train_acc: 0.820 
-

-

-
  [==>-------------------------------------] 8.200% | train_error: 1.86 | train_acc: 0.820 
-

-

-
  [==>-------------------------------------] 8.300% | train_error: 1.86 | train_acc: 0.820 
-

-

-
  [==>-------------------------------------] 8.400% | train_error: 1.87 | train_acc: 0.820 
-

-

-
  [==>-------------------------------------] 8.500% | train_error: 1.86 | train_acc: 0.820 
-

-

-
  [==>-------------------------------------] 8.600% | train_error: 1.86 | train_acc: 0.820 
-

-

-
  [==>-------------------------------------] 8.700% | train_error: 1.86 | train_acc: 0.820 
-

-

-
  [==>-------------------------------------] 8.800% | train_error: 1.86 | train_acc: 0.820 
-

-

-
  [==>-------------------------------------] 8.900% | train_error: 1.87 | train_acc: 0.820 
-

-

-
  [==>-------------------------------------] 9.000% | train_error: 1.87 | train_acc: 0.820 
-

-

-
  [==>-------------------------------------] 9.100% | train_error: 1.87 | train_acc: 0.819 
-

-

-
  [==>-------------------------------------] 9.200% | train_error: 1.87 | train_acc: 0.819 
-

-

-
  [==>-------------------------------------] 9.300% | train_error: 1.87 | train_acc: 0.819 
-

-

-
  [==>-------------------------------------] 9.400% | train_error: 1.87 | train_acc: 0.819 
-

-

-
  [==>-------------------------------------] 9.500% | train_error: 1.87 | train_acc: 0.819 
-

-

-
  [==>-------------------------------------] 9.600% | train_error: 1.87 | train_acc: 0.819 
-

-

-
  [==>-------------------------------------] 9.700% | train_error: 1.87 | train_acc: 0.819 
-

-

-
  [==>-------------------------------------] 9.800% | train_error: 1.88 | train_acc: 0.819 
-

-

-
  [==>-------------------------------------] 9.900% | train_error: 1.88 | train_acc: 0.819 
-

-

-
  [===>------------------------------------] 10.00% | train_error: 1.88 | train_acc: 0.819 
-

-

-
  [===>------------------------------------] 10.10% | train_error: 1.88 | train_acc: 0.819 
-

-

-
  [===>------------------------------------] 10.20% | train_error: 1.88 | train_acc: 0.819 
-

-

-
  [===>------------------------------------] 10.30% | train_error: 1.88 | train_acc: 0.819 
-

-

-
  [===>------------------------------------] 10.40% | train_error: 1.88 | train_acc: 0.819 
-

-

-
  [===>------------------------------------] 10.50% | train_error: 1.88 | train_acc: 0.819 
-

-

-
  [===>------------------------------------] 10.60% | train_error: 1.88 | train_acc: 0.819 
-

-

-
  [===>------------------------------------] 10.70% | train_error: 1.88 | train_acc: 0.819 
-

-

-
  [===>------------------------------------] 10.80% | train_error: 1.88 | train_acc: 0.819 
-

-

-
  [===>------------------------------------] 10.90% | train_error: 1.88 | train_acc: 0.819 
-

-

-
  [===>------------------------------------] 11.00% | train_error: 1.88 | train_acc: 0.819 
-

-

-
  [===>------------------------------------] 11.10% | train_error: 1.88 | train_acc: 0.819 
-

-

-
  [===>------------------------------------] 11.20% | train_error: 1.88 | train_acc: 0.819 
-

-

-
  [===>------------------------------------] 11.30% | train_error: 1.88 | train_acc: 0.818 
-

-

-
  [===>------------------------------------] 11.40% | train_error: 1.88 | train_acc: 0.818 
-

-

-
  [===>------------------------------------] 11.50% | train_error: 1.88 | train_acc: 0.818 
-

-

-
  [===>------------------------------------] 11.60% | train_error: 1.88 | train_acc: 0.819 
-

-

-
  [===>------------------------------------] 11.70% | train_error: 1.88 | train_acc: 0.818 
-

-

-
  [===>------------------------------------] 11.80% | train_error: 1.88 | train_acc: 0.818 
-

-

-
  [===>------------------------------------] 11.90% | train_error: 1.88 | train_acc: 0.818 
-

-

-
  [===>------------------------------------] 12.00% | train_error: 1.88 | train_acc: 0.818 
-

-

-
  [===>------------------------------------] 12.10% | train_error: 1.88 | train_acc: 0.818 
-

-

-
  [===>------------------------------------] 12.20% | train_error: 1.88 | train_acc: 0.818 
-

-

-
  [===>------------------------------------] 12.30% | train_error: 1.88 | train_acc: 0.818 
-

-

-
  [===>------------------------------------] 12.40% | train_error: 1.88 | train_acc: 0.818 
-

-

-
  [====>-----------------------------------] 12.50% | train_error: 1.88 | train_acc: 0.818 
-

-

-
  [====>-----------------------------------] 12.60% | train_error: 1.88 | train_acc: 0.818 
-

-

-
  [====>-----------------------------------] 12.70% | train_error: 1.88 | train_acc: 0.819 
-

-

-
  [====>-----------------------------------] 12.80% | train_error: 1.88 | train_acc: 0.819 
-

-

-
  [====>-----------------------------------] 12.90% | train_error: 1.88 | train_acc: 0.819 
-

-

-
  [====>-----------------------------------] 13.00% | train_error: 1.88 | train_acc: 0.819 
-

-

-
  [====>-----------------------------------] 13.10% | train_error: 1.87 | train_acc: 0.819 
-

-

-
  [====>-----------------------------------] 13.20% | train_error: 1.87 | train_acc: 0.819 
-

-

-
  [====>-----------------------------------] 13.30% | train_error: 1.87 | train_acc: 0.819 
-

-

-
  [====>-----------------------------------] 13.40% | train_error: 1.87 | train_acc: 0.819 
-

-

-
  [====>-----------------------------------] 13.50% | train_error: 1.87 | train_acc: 0.820 
-

-

-
  [====>-----------------------------------] 13.60% | train_error: 1.87 | train_acc: 0.820 
-

-

-
  [====>-----------------------------------] 13.70% | train_error: 1.87 | train_acc: 0.820 
-

-

-
  [====>-----------------------------------] 13.80% | train_error: 1.86 | train_acc: 0.820 
-

-

-
  [====>-----------------------------------] 13.90% | train_error: 1.86 | train_acc: 0.820 
-

-

-
  [====>-----------------------------------] 14.00% | train_error: 1.87 | train_acc: 0.820 
-

-

-
  [====>-----------------------------------] 14.10% | train_error: 1.87 | train_acc: 0.820 
-

-

-
  [====>-----------------------------------] 14.20% | train_error: 1.86 | train_acc: 0.820 
-

-

-
  [====>-----------------------------------] 14.30% | train_error: 1.86 | train_acc: 0.820 
-

-

-
  [====>-----------------------------------] 14.40% | train_error: 1.86 | train_acc: 0.820 
-

-

-
  [====>-----------------------------------] 14.50% | train_error: 1.86 | train_acc: 0.820 
-

-

-
  [====>-----------------------------------] 14.60% | train_error: 1.87 | train_acc: 0.820 
-

-

-
  [====>-----------------------------------] 14.70% | train_error: 1.87 | train_acc: 0.820 
-

-

-
  [====>-----------------------------------] 14.80% | train_error: 1.87 | train_acc: 0.820 
-

-

-
  [====>-----------------------------------] 14.90% | train_error: 1.87 | train_acc: 0.820 
-

-

-
  [=====>----------------------------------] 15.00% | train_error: 1.86 | train_acc: 0.820 
-

-

-
  [=====>----------------------------------] 15.10% | train_error: 1.86 | train_acc: 0.820 
-

-

-
  [=====>----------------------------------] 15.20% | train_error: 1.86 | train_acc: 0.820 
-

-

-
  [=====>----------------------------------] 15.30% | train_error: 1.86 | train_acc: 0.820 
-

-

-
  [=====>----------------------------------] 15.40% | train_error: 1.87 | train_acc: 0.820 
-

-

-
  [=====>----------------------------------] 15.50% | train_error: 1.87 | train_acc: 0.820 
-

-

-
  [=====>----------------------------------] 15.60% | train_error: 1.87 | train_acc: 0.820 
-

-

-
  [=====>----------------------------------] 15.70% | train_error: 1.87 | train_acc: 0.820 
-

-

-
  [=====>----------------------------------] 15.80% | train_error: 1.87 | train_acc: 0.820 
-

-

-
  [=====>----------------------------------] 15.90% | train_error: 1.87 | train_acc: 0.820 
-

-

-
  [=====>----------------------------------] 16.00% | train_error: 1.87 | train_acc: 0.819 
-

-

-
  [=====>----------------------------------] 16.10% | train_error: 1.87 | train_acc: 0.819 
-

-

-
  [=====>----------------------------------] 16.20% | train_error: 1.87 | train_acc: 0.819 
-

-

-
  [=====>----------------------------------] 16.30% | train_error: 1.87 | train_acc: 0.819 
-

-

-
  [=====>----------------------------------] 16.40% | train_error: 1.87 | train_acc: 0.819 
-

-

-
  [=====>----------------------------------] 16.50% | train_error: 1.88 | train_acc: 0.819 
-

-

-
  [=====>----------------------------------] 16.60% | train_error: 1.88 | train_acc: 0.819 
-

-

-
  [=====>----------------------------------] 16.70% | train_error: 1.88 | train_acc: 0.819 
-

-

-
  [=====>----------------------------------] 16.80% | train_error: 1.88 | train_acc: 0.819 
-

-

-
  [=====>----------------------------------] 16.90% | train_error: 1.88 | train_acc: 0.819 
-

-

-
  [=====>----------------------------------] 17.00% | train_error: 1.88 | train_acc: 0.819 
-

-

-
  [=====>----------------------------------] 17.10% | train_error: 1.88 | train_acc: 0.819 
-

-

-
  [=====>----------------------------------] 17.20% | train_error: 1.88 | train_acc: 0.819 
-

-

-
  [=====>----------------------------------] 17.30% | train_error: 1.88 | train_acc: 0.819 
-

-

-
  [=====>----------------------------------] 17.40% | train_error: 1.88 | train_acc: 0.819 
-

-

-
  [======>---------------------------------] 17.50% | train_error: 1.88 | train_acc: 0.819 
-

-

-
  [======>---------------------------------] 17.60% | train_error: 1.88 | train_acc: 0.819 
-

-

-
  [======>---------------------------------] 17.70% | train_error: 1.88 | train_acc: 0.819 
-

-

-
  [======>---------------------------------] 17.80% | train_error: 1.88 | train_acc: 0.819 
-

-

-
  [======>---------------------------------] 17.90% | train_error: 1.88 | train_acc: 0.819 
-

-

-
  [======>---------------------------------] 18.00% | train_error: 1.88 | train_acc: 0.819 
-

-

-
  [======>---------------------------------] 18.10% | train_error: 1.88 | train_acc: 0.819 
-

-

-
  [======>---------------------------------] 18.20% | train_error: 1.87 | train_acc: 0.820 
-

-

-
  [======>---------------------------------] 18.30% | train_error: 1.87 | train_acc: 0.820 
-

-

-
  [======>---------------------------------] 18.40% | train_error: 1.87 | train_acc: 0.819 
-

-

-
  [======>---------------------------------] 18.50% | train_error: 1.87 | train_acc: 0.820 
-

-

-
  [======>---------------------------------] 18.60% | train_error: 1.87 | train_acc: 0.819 
-

-

-
  [======>---------------------------------] 18.70% | train_error: 1.88 | train_acc: 0.819 
-

-

-
  [======>---------------------------------] 18.80% | train_error: 1.88 | train_acc: 0.819 
-

-

-
  [======>---------------------------------] 18.90% | train_error: 1.87 | train_acc: 0.819 
-

-

-
  [======>---------------------------------] 19.00% | train_error: 1.88 | train_acc: 0.819 
-

-

-
  [======>---------------------------------] 19.10% | train_error: 1.87 | train_acc: 0.819 
-

-

-
  [======>---------------------------------] 19.20% | train_error: 1.87 | train_acc: 0.819 
-

-

-
  [======>---------------------------------] 19.30% | train_error: 1.87 | train_acc: 0.819 
-

-

-
  [======>---------------------------------] 19.40% | train_error: 1.88 | train_acc: 0.819 
-

-

-
  [======>---------------------------------] 19.50% | train_error: 1.88 | train_acc: 0.819 
-

-

-
  [======>---------------------------------] 19.60% | train_error: 1.88 | train_acc: 0.819 
-

-

-
  [======>---------------------------------] 19.70% | train_error: 1.88 | train_acc: 0.819 
-

-

-
  [======>---------------------------------] 19.80% | train_error: 1.88 | train_acc: 0.818 
-

-

-
  [======>---------------------------------] 19.90% | train_error: 1.88 | train_acc: 0.819 
-

-

-
  [=======>--------------------------------] 20.00% | train_error: 1.88 | train_acc: 0.819 
-

-

-
  [=======>--------------------------------] 20.10% | train_error: 1.88 | train_acc: 0.819 
-

-

-
  [=======>--------------------------------] 20.20% | train_error: 1.88 | train_acc: 0.819 
-

-

-
  [=======>--------------------------------] 20.30% | train_error: 1.88 | train_acc: 0.819 
-

-

-
  [=======>--------------------------------] 20.40% | train_error: 1.88 | train_acc: 0.818 
-

-

-
  [=======>--------------------------------] 20.50% | train_error: 1.88 | train_acc: 0.819 
-

-

-
  [=======>--------------------------------] 20.60% | train_error: 1.88 | train_acc: 0.819 
-

-

-
  [=======>--------------------------------] 20.70% | train_error: 1.88 | train_acc: 0.819 
-

-

-
  [=======>--------------------------------] 20.80% | train_error: 1.88 | train_acc: 0.819 
-

-

-
  [=======>--------------------------------] 20.90% | train_error: 1.88 | train_acc: 0.819 
-

-

-
  [=======>--------------------------------] 21.00% | train_error: 1.88 | train_acc: 0.819 
-

-

-
  [=======>--------------------------------] 21.10% | train_error: 1.88 | train_acc: 0.819 
-

-

-
  [=======>--------------------------------] 21.20% | train_error: 1.88 | train_acc: 0.819 
-

-

-
  [=======>--------------------------------] 21.30% | train_error: 1.88 | train_acc: 0.819 
-

-

-
  [=======>--------------------------------] 21.40% | train_error: 1.88 | train_acc: 0.819 
-

-

-
  [=======>--------------------------------] 21.50% | train_error: 1.88 | train_acc: 0.818 
-

-

-
  [=======>--------------------------------] 21.60% | train_error: 1.88 | train_acc: 0.818 
-

-

-
  [=======>--------------------------------] 21.70% | train_error: 1.88 | train_acc: 0.818 
-

-

-
  [=======>--------------------------------] 21.80% | train_error: 1.88 | train_acc: 0.818 
-

-

-
  [=======>--------------------------------] 21.90% | train_error: 1.88 | train_acc: 0.818 
-

-

-
  [=======>--------------------------------] 22.00% | train_error: 1.88 | train_acc: 0.819 
-

-

-
  [=======>--------------------------------] 22.10% | train_error: 1.88 | train_acc: 0.819 
-

-

-
  [=======>--------------------------------] 22.20% | train_error: 1.88 | train_acc: 0.819 
-

-

-
  [=======>--------------------------------] 22.30% | train_error: 1.88 | train_acc: 0.819 
-

-

-
  [=======>--------------------------------] 22.40% | train_error: 1.88 | train_acc: 0.819 
-

-

-
  [========>-------------------------------] 22.50% | train_error: 1.88 | train_acc: 0.819 
-

-

-
  [========>-------------------------------] 22.60% | train_error: 1.88 | train_acc: 0.819 
-

-

-
  [========>-------------------------------] 22.70% | train_error: 1.88 | train_acc: 0.819 
-

-

-
  [========>-------------------------------] 22.80% | train_error: 1.88 | train_acc: 0.819 
-

-

-
  [========>-------------------------------] 22.90% | train_error: 1.88 | train_acc: 0.819 
-

-

-
  [========>-------------------------------] 23.00% | train_error: 1.87 | train_acc: 0.819 
-

-

-
  [========>-------------------------------] 23.10% | train_error: 1.87 | train_acc: 0.819 
-

-

-
  [========>-------------------------------] 23.20% | train_error: 1.87 | train_acc: 0.820 
-

-

-
  [========>-------------------------------] 23.30% | train_error: 1.87 | train_acc: 0.820 
-

-

-
  [========>-------------------------------] 23.40% | train_error: 1.86 | train_acc: 0.820 
-

-

-
  [========>-------------------------------] 23.50% | train_error: 1.86 | train_acc: 0.820 
-

-

-
  [========>-------------------------------] 23.60% | train_error: 1.86 | train_acc: 0.820 
-

-

-
  [========>-------------------------------] 23.70% | train_error: 1.86 | train_acc: 0.821 
-

-

-
  [========>-------------------------------] 23.80% | train_error: 1.86 | train_acc: 0.821 
-

-

-
  [========>-------------------------------] 23.90% | train_error: 1.86 | train_acc: 0.821 
-

-

-
  [========>-------------------------------] 24.00% | train_error: 1.86 | train_acc: 0.821 
-

-

-
  [========>-------------------------------] 24.10% | train_error: 1.86 | train_acc: 0.821 
-

-

-
  [========>-------------------------------] 24.20% | train_error: 1.86 | train_acc: 0.820 
-

-

-
  [========>-------------------------------] 24.30% | train_error: 1.86 | train_acc: 0.821 
-

-

-
  [========>-------------------------------] 24.40% | train_error: 1.86 | train_acc: 0.821 
-

-

-
  [========>-------------------------------] 24.50% | train_error: 1.85 | train_acc: 0.821 
-

-

-
  [========>-------------------------------] 24.60% | train_error: 1.85 | train_acc: 0.821 
-

-

-
  [========>-------------------------------] 24.70% | train_error: 1.85 | train_acc: 0.822 
-

-

-
  [========>-------------------------------] 24.80% | train_error: 1.85 | train_acc: 0.821 
-

-

-
  [========>-------------------------------] 24.90% | train_error: 1.85 | train_acc: 0.822 
-

-

-
  [=========>------------------------------] 25.00% | train_error: 1.85 | train_acc: 0.822 
-

-

-
  [=========>------------------------------] 25.10% | train_error: 1.84 | train_acc: 0.822 
-

-

-
  [=========>------------------------------] 25.20% | train_error: 1.84 | train_acc: 0.822 
-

-

-
  [=========>------------------------------] 25.30% | train_error: 1.84 | train_acc: 0.822 
-

-

-
  [=========>------------------------------] 25.40% | train_error: 1.84 | train_acc: 0.822 
-

-

-
  [=========>------------------------------] 25.50% | train_error: 1.84 | train_acc: 0.822 
-

-

-
  [=========>------------------------------] 25.60% | train_error: 1.84 | train_acc: 0.823 
-

-

-
  [=========>------------------------------] 25.70% | train_error: 1.84 | train_acc: 0.823 
-

-

-
  [=========>------------------------------] 25.80% | train_error: 1.83 | train_acc: 0.823 
-

-

-
  [=========>------------------------------] 25.90% | train_error: 1.83 | train_acc: 0.823 
-

-

-
  [=========>------------------------------] 26.00% | train_error: 1.83 | train_acc: 0.823 
-

-

-
  [=========>------------------------------] 26.10% | train_error: 1.83 | train_acc: 0.823 
-

-

-
  [=========>------------------------------] 26.20% | train_error: 1.83 | train_acc: 0.823 
-

-

-
  [=========>------------------------------] 26.30% | train_error: 1.83 | train_acc: 0.824 
-

-

-
  [=========>------------------------------] 26.40% | train_error: 1.83 | train_acc: 0.824 
-

-

-
  [=========>------------------------------] 26.50% | train_error: 1.83 | train_acc: 0.824 
-

-

-
  [=========>------------------------------] 26.60% | train_error: 1.83 | train_acc: 0.823 
-

-

-
  [=========>------------------------------] 26.70% | train_error: 1.83 | train_acc: 0.823 
-

-

-
  [=========>------------------------------] 26.80% | train_error: 1.83 | train_acc: 0.824 
-

-

-
  [=========>------------------------------] 26.90% | train_error: 1.82 | train_acc: 0.824 
-

-

-
  [=========>------------------------------] 27.00% | train_error: 1.82 | train_acc: 0.824 
-

-

-
  [=========>------------------------------] 27.10% | train_error: 1.82 | train_acc: 0.824 
-

-

-
  [=========>------------------------------] 27.20% | train_error: 1.82 | train_acc: 0.824 
-

-

-
  [=========>------------------------------] 27.30% | train_error: 1.82 | train_acc: 0.825 
-

-

-
  [=========>------------------------------] 27.40% | train_error: 1.82 | train_acc: 0.825 
-

-

-
  [==========>-----------------------------] 27.50% | train_error: 1.82 | train_acc: 0.825 
-

-

-
  [==========>-----------------------------] 27.60% | train_error: 1.82 | train_acc: 0.825 
-

-

-
  [==========>-----------------------------] 27.70% | train_error: 1.81 | train_acc: 0.825 
-

-

-
  [==========>-----------------------------] 27.80% | train_error: 1.81 | train_acc: 0.825 
-

-

-
  [==========>-----------------------------] 27.90% | train_error: 1.81 | train_acc: 0.825 
-

-

-
  [==========>-----------------------------] 28.00% | train_error: 1.81 | train_acc: 0.825 
-

-

-
  [==========>-----------------------------] 28.10% | train_error: 1.81 | train_acc: 0.825 
-

-

-
  [==========>-----------------------------] 28.20% | train_error: 1.81 | train_acc: 0.825 
-

-

-
  [==========>-----------------------------] 28.30% | train_error: 1.81 | train_acc: 0.825 
-

-

-
  [==========>-----------------------------] 28.40% | train_error: 1.80 | train_acc: 0.826 
-

-

-
  [==========>-----------------------------] 28.50% | train_error: 1.80 | train_acc: 0.826 
-

-

-
  [==========>-----------------------------] 28.60% | train_error: 1.80 | train_acc: 0.826 
-

-

-
  [==========>-----------------------------] 28.70% | train_error: 1.80 | train_acc: 0.826 
-

-

-
  [==========>-----------------------------] 28.80% | train_error: 1.80 | train_acc: 0.826 
-

-

-
  [==========>-----------------------------] 28.90% | train_error: 1.80 | train_acc: 0.826 
-

-

-
  [==========>-----------------------------] 29.00% | train_error: 1.80 | train_acc: 0.826 
-

-

-
  [==========>-----------------------------] 29.10% | train_error: 1.80 | train_acc: 0.826 
-

-

-
  [==========>-----------------------------] 29.20% | train_error: 1.80 | train_acc: 0.827 
-

-

-
  [==========>-----------------------------] 29.30% | train_error: 1.80 | train_acc: 0.827 
-

-

-
  [==========>-----------------------------] 29.40% | train_error: 1.80 | train_acc: 0.826 
-

-

-
  [==========>-----------------------------] 29.50% | train_error: 1.80 | train_acc: 0.827 
-

-

-
  [==========>-----------------------------] 29.60% | train_error: 1.80 | train_acc: 0.827 
-

-

-
  [==========>-----------------------------] 29.70% | train_error: 1.80 | train_acc: 0.826 
-

-

-
  [==========>-----------------------------] 29.80% | train_error: 1.79 | train_acc: 0.827 
-

-

-
  [==========>-----------------------------] 29.90% | train_error: 1.79 | train_acc: 0.827 
-

-

-
  [===========>----------------------------] 30.00% | train_error: 1.79 | train_acc: 0.827 
-

-

-
  [===========>----------------------------] 30.10% | train_error: 1.79 | train_acc: 0.828 
-

-

-
  [===========>----------------------------] 30.20% | train_error: 1.79 | train_acc: 0.827 
-

-

-
  [===========>----------------------------] 30.30% | train_error: 1.79 | train_acc: 0.827 
-

-

-
  [===========>----------------------------] 30.40% | train_error: 1.79 | train_acc: 0.827 
-

-

-
  [===========>----------------------------] 30.50% | train_error: 1.79 | train_acc: 0.828 
-

-

-
  [===========>----------------------------] 30.60% | train_error: 1.78 | train_acc: 0.828 
-

-

-
  [===========>----------------------------] 30.70% | train_error: 1.78 | train_acc: 0.828 
-

-

-
  [===========>----------------------------] 30.80% | train_error: 1.78 | train_acc: 0.828 
-

-

-
  [===========>----------------------------] 30.90% | train_error: 1.78 | train_acc: 0.828 
-

-

-
  [===========>----------------------------] 31.00% | train_error: 1.78 | train_acc: 0.828 
-

-

-
  [===========>----------------------------] 31.10% | train_error: 1.78 | train_acc: 0.828 
-

-

-
  [===========>----------------------------] 31.20% | train_error: 1.78 | train_acc: 0.828 
-

-

-
  [===========>----------------------------] 31.30% | train_error: 1.78 | train_acc: 0.828 
-

-

-
  [===========>----------------------------] 31.40% | train_error: 1.78 | train_acc: 0.829 
-

-

-
  [===========>----------------------------] 31.50% | train_error: 1.78 | train_acc: 0.829 
-

-

-
  [===========>----------------------------] 31.60% | train_error: 1.77 | train_acc: 0.829 
-

-

-
  [===========>----------------------------] 31.70% | train_error: 1.78 | train_acc: 0.829 
-

-

-
  [===========>----------------------------] 31.80% | train_error: 1.78 | train_acc: 0.829 
-

-

-
  [===========>----------------------------] 31.90% | train_error: 1.77 | train_acc: 0.829 
-

-

-
  [===========>----------------------------] 32.00% | train_error: 1.77 | train_acc: 0.829 
-

-

-
  [===========>----------------------------] 32.10% | train_error: 1.76 | train_acc: 0.830 
-

-

-
  [===========>----------------------------] 32.20% | train_error: 1.77 | train_acc: 0.829 
-

-

-
  [===========>----------------------------] 32.30% | train_error: 1.76 | train_acc: 0.830 
-

-

-
  [===========>----------------------------] 32.40% | train_error: 1.76 | train_acc: 0.830 
-

-

-
  [============>---------------------------] 32.50% | train_error: 1.76 | train_acc: 0.830 
-

-

-
  [============>---------------------------] 32.60% | train_error: 1.76 | train_acc: 0.830 
-

-

-
  [============>---------------------------] 32.70% | train_error: 1.76 | train_acc: 0.830 
-

-

-
  [============>---------------------------] 32.80% | train_error: 1.76 | train_acc: 0.830 
-

-

-
  [============>---------------------------] 32.90% | train_error: 1.76 | train_acc: 0.831 
-

-

-
  [============>---------------------------] 33.00% | train_error: 1.75 | train_acc: 0.831 
-

-

-
  [============>---------------------------] 33.10% | train_error: 1.75 | train_acc: 0.831 
-

-

-
  [============>---------------------------] 33.20% | train_error: 1.75 | train_acc: 0.831 
-

-

-
  [============>---------------------------] 33.30% | train_error: 1.75 | train_acc: 0.831 
-

-

-
  [============>---------------------------] 33.40% | train_error: 1.75 | train_acc: 0.831 
-

-

-
  [============>---------------------------] 33.50% | train_error: 1.75 | train_acc: 0.831 
-

-

-
  [============>---------------------------] 33.60% | train_error: 1.75 | train_acc: 0.831 
-

-

-
  [============>---------------------------] 33.70% | train_error: 1.75 | train_acc: 0.831 
-

-

-
  [============>---------------------------] 33.80% | train_error: 1.75 | train_acc: 0.831 
-

-

-
  [============>---------------------------] 33.90% | train_error: 1.75 | train_acc: 0.831 
-

-

-
  [============>---------------------------] 34.00% | train_error: 1.75 | train_acc: 0.831 
-

-

-
  [============>---------------------------] 34.10% | train_error: 1.74 | train_acc: 0.832 
-

-

-
  [============>---------------------------] 34.20% | train_error: 1.74 | train_acc: 0.832 
-

-

-
  [============>---------------------------] 34.30% | train_error: 1.74 | train_acc: 0.832 
-

-

-
  [============>---------------------------] 34.40% | train_error: 1.74 | train_acc: 0.832 
-

-

-
  [============>---------------------------] 34.50% | train_error: 1.74 | train_acc: 0.832 
-

-

-
  [============>---------------------------] 34.60% | train_error: 1.73 | train_acc: 0.833 
-

-

-
  [============>---------------------------] 34.70% | train_error: 1.73 | train_acc: 0.833 
-

-

-
  [============>---------------------------] 34.80% | train_error: 1.73 | train_acc: 0.833 
-

-

-
  [============>---------------------------] 34.90% | train_error: 1.73 | train_acc: 0.833 
-

-

-
  [=============>--------------------------] 35.00% | train_error: 1.73 | train_acc: 0.833 
-

-

-
  [=============>--------------------------] 35.10% | train_error: 1.73 | train_acc: 0.834 
-

-

-
  [=============>--------------------------] 35.20% | train_error: 1.73 | train_acc: 0.834 
-

-

-
  [=============>--------------------------] 35.30% | train_error: 1.72 | train_acc: 0.834 
-

-

-
  [=============>--------------------------] 35.40% | train_error: 1.73 | train_acc: 0.833 
-

-

-
  [=============>--------------------------] 35.50% | train_error: 1.73 | train_acc: 0.833 
-

-

-
  [=============>--------------------------] 35.60% | train_error: 1.74 | train_acc: 0.832 
-

-

-
  [=============>--------------------------] 35.70% | train_error: 1.73 | train_acc: 0.833 
-

-

-
  [=============>--------------------------] 35.80% | train_error: 1.74 | train_acc: 0.832 
-

-

-
  [=============>--------------------------] 35.90% | train_error: 1.74 | train_acc: 0.832 
-

-

-
  [=============>--------------------------] 36.00% | train_error: 1.73 | train_acc: 0.833 
-

-

-
  [=============>--------------------------] 36.10% | train_error: 1.73 | train_acc: 0.833 
-

-

-
  [=============>--------------------------] 36.20% | train_error: 1.74 | train_acc: 0.832 
-

-

-
  [=============>--------------------------] 36.30% | train_error: 1.74 | train_acc: 0.832 
-

-

-
  [=============>--------------------------] 36.40% | train_error: 1.74 | train_acc: 0.832 
-

-

-
  [=============>--------------------------] 36.50% | train_error: 1.74 | train_acc: 0.832 
-

-

-
  [=============>--------------------------] 36.60% | train_error: 1.74 | train_acc: 0.832 
-

-

-
  [=============>--------------------------] 36.70% | train_error: 1.74 | train_acc: 0.832 
-

-

-
  [=============>--------------------------] 36.80% | train_error: 1.74 | train_acc: 0.832 
-

-

-
  [=============>--------------------------] 36.90% | train_error: 1.74 | train_acc: 0.832 
-

-

-
  [=============>--------------------------] 37.00% | train_error: 1.74 | train_acc: 0.832 
-

-

-
  [=============>--------------------------] 37.10% | train_error: 1.74 | train_acc: 0.832 
-

-

-
  [=============>--------------------------] 37.20% | train_error: 1.74 | train_acc: 0.832 
-

-

-
  [=============>--------------------------] 37.30% | train_error: 1.74 | train_acc: 0.832 
-

-

-
  [=============>--------------------------] 37.40% | train_error: 1.74 | train_acc: 0.832 
-

-

-
  [==============>-------------------------] 37.50% | train_error: 1.74 | train_acc: 0.832 
-

-

-
  [==============>-------------------------] 37.60% | train_error: 1.73 | train_acc: 0.833 
-

-

-
  [==============>-------------------------] 37.70% | train_error: 1.72 | train_acc: 0.834 
-

-

-
  [==============>-------------------------] 37.80% | train_error: 1.73 | train_acc: 0.834 
-

-

-
  [==============>-------------------------] 37.90% | train_error: 1.73 | train_acc: 0.833 
-

-

-
  [==============>-------------------------] 38.00% | train_error: 1.73 | train_acc: 0.833 
-

-

-
  [==============>-------------------------] 38.10% | train_error: 1.73 | train_acc: 0.833 
-

-

-
  [==============>-------------------------] 38.20% | train_error: 1.73 | train_acc: 0.833 
-

-

-
  [==============>-------------------------] 38.30% | train_error: 1.72 | train_acc: 0.834 
-

-

-
  [==============>-------------------------] 38.40% | train_error: 1.73 | train_acc: 0.834 
-

-

-
  [==============>-------------------------] 38.50% | train_error: 1.73 | train_acc: 0.834 
-

-

-
  [==============>-------------------------] 38.60% | train_error: 1.73 | train_acc: 0.833 
-

-

-
  [==============>-------------------------] 38.70% | train_error: 1.73 | train_acc: 0.834 
-

-

-
  [==============>-------------------------] 38.80% | train_error: 1.72 | train_acc: 0.834 
-

-

-
  [==============>-------------------------] 38.90% | train_error: 1.72 | train_acc: 0.834 
-

-

-
  [==============>-------------------------] 39.00% | train_error: 1.73 | train_acc: 0.833 
-

-

-
  [==============>-------------------------] 39.10% | train_error: 1.73 | train_acc: 0.833 
-

-

-
  [==============>-------------------------] 39.20% | train_error: 1.73 | train_acc: 0.833 
-

-

-
  [==============>-------------------------] 39.30% | train_error: 1.73 | train_acc: 0.833 
-

-

-
  [==============>-------------------------] 39.40% | train_error: 1.73 | train_acc: 0.833 
-

-

-
  [==============>-------------------------] 39.50% | train_error: 1.73 | train_acc: 0.833 
-

-

-
  [==============>-------------------------] 39.60% | train_error: 1.73 | train_acc: 0.833 
-

-

-
  [==============>-------------------------] 39.70% | train_error: 1.73 | train_acc: 0.833 
-

-

-
  [==============>-------------------------] 39.80% | train_error: 1.73 | train_acc: 0.833 
-

-

-
  [==============>-------------------------] 39.90% | train_error: 1.73 | train_acc: 0.833 
-

-

-
  [===============>------------------------] 40.00% | train_error: 1.73 | train_acc: 0.833 
-

-

-
  [===============>------------------------] 40.10% | train_error: 1.72 | train_acc: 0.834 
-

-

-
  [===============>------------------------] 40.20% | train_error: 1.72 | train_acc: 0.834 
-

-

-
  [===============>------------------------] 40.30% | train_error: 1.72 | train_acc: 0.834 
-

-

-
  [===============>------------------------] 40.40% | train_error: 1.71 | train_acc: 0.835 
-

-

-
  [===============>------------------------] 40.50% | train_error: 1.71 | train_acc: 0.835 
-

-

-
  [===============>------------------------] 40.60% | train_error: 1.71 | train_acc: 0.835 
-

-

-
  [===============>------------------------] 40.70% | train_error: 1.71 | train_acc: 0.835 
-

-

-
  [===============>------------------------] 40.80% | train_error: 1.71 | train_acc: 0.835 
-

-

-
  [===============>------------------------] 40.90% | train_error: 1.71 | train_acc: 0.835 
-

-

-
  [===============>------------------------] 41.00% | train_error: 1.71 | train_acc: 0.835 
-

-

-
  [===============>------------------------] 41.10% | train_error: 1.71 | train_acc: 0.835 
-

-

-
  [===============>------------------------] 41.20% | train_error: 1.71 | train_acc: 0.835 
-

-

-
  [===============>------------------------] 41.30% | train_error: 1.71 | train_acc: 0.835 
-

-

-
  [===============>------------------------] 41.40% | train_error: 1.71 | train_acc: 0.835 
-

-

-
  [===============>------------------------] 41.50% | train_error: 1.70 | train_acc: 0.836 
-

-

-
  [===============>------------------------] 41.60% | train_error: 1.70 | train_acc: 0.836 
-

-

-
  [===============>------------------------] 41.70% | train_error: 1.70 | train_acc: 0.836 
-

-

-
  [===============>------------------------] 41.80% | train_error: 1.70 | train_acc: 0.836 
-

-

-
  [===============>------------------------] 41.90% | train_error: 1.70 | train_acc: 0.836 
-

-

-
  [===============>------------------------] 42.00% | train_error: 1.70 | train_acc: 0.836 
-

-

-
  [===============>------------------------] 42.10% | train_error: 1.69 | train_acc: 0.837 
-

-

-
  [===============>------------------------] 42.20% | train_error: 1.69 | train_acc: 0.837 
-

-

-
  [===============>------------------------] 42.30% | train_error: 1.69 | train_acc: 0.837 
-

-

-
  [===============>------------------------] 42.40% | train_error: 1.69 | train_acc: 0.837 
-

-

-
  [================>-----------------------] 42.50% | train_error: 1.69 | train_acc: 0.837 
-

-

-
  [================>-----------------------] 42.60% | train_error: 1.69 | train_acc: 0.837 
-

-

-
  [================>-----------------------] 42.70% | train_error: 1.68 | train_acc: 0.838 
-

-

-
  [================>-----------------------] 42.80% | train_error: 1.68 | train_acc: 0.838 
-

-

-
  [================>-----------------------] 42.90% | train_error: 1.68 | train_acc: 0.838 
-

-

-
  [================>-----------------------] 43.00% | train_error: 1.68 | train_acc: 0.838 
-

-

-
  [================>-----------------------] 43.10% | train_error: 1.68 | train_acc: 0.838 
-

-

-
  [================>-----------------------] 43.20% | train_error: 1.67 | train_acc: 0.839 
-

-

-
  [================>-----------------------] 43.30% | train_error: 1.67 | train_acc: 0.839 
-

-

-
  [================>-----------------------] 43.40% | train_error: 1.67 | train_acc: 0.839 
-

-

-
  [================>-----------------------] 43.50% | train_error: 1.67 | train_acc: 0.839 
-

-

-
  [================>-----------------------] 43.60% | train_error: 1.66 | train_acc: 0.840 
-

-

-
  [================>-----------------------] 43.70% | train_error: 1.66 | train_acc: 0.840 
-

-

-
  [================>-----------------------] 43.80% | train_error: 1.65 | train_acc: 0.840 
-

-

-
  [================>-----------------------] 43.90% | train_error: 1.65 | train_acc: 0.841 
-

-

-
  [================>-----------------------] 44.00% | train_error: 1.65 | train_acc: 0.841 
-

-

-
  [================>-----------------------] 44.10% | train_error: 1.64 | train_acc: 0.841 
-

-

-
  [================>-----------------------] 44.20% | train_error: 1.64 | train_acc: 0.842 
-

-

-
  [================>-----------------------] 44.30% | train_error: 1.62 | train_acc: 0.843 
-

-

-
  [================>-----------------------] 44.40% | train_error: 1.62 | train_acc: 0.843 
-

-

-
  [================>-----------------------] 44.50% | train_error: 1.62 | train_acc: 0.843 
-

-

-
  [================>-----------------------] 44.60% | train_error: 1.62 | train_acc: 0.844 
-

-

-
  [================>-----------------------] 44.70% | train_error: 1.61 | train_acc: 0.844 
-

-

-
  [================>-----------------------] 44.80% | train_error: 1.61 | train_acc: 0.845 
-

-

-
  [================>-----------------------] 44.90% | train_error: 1.60 | train_acc: 0.846 
-

-

-
  [=================>----------------------] 45.00% | train_error: 1.59 | train_acc: 0.846 
-

-

-
  [=================>----------------------] 45.10% | train_error: 1.59 | train_acc: 0.846 
-

-

-
  [=================>----------------------] 45.20% | train_error: 1.59 | train_acc: 0.847 
-

-

-
  [=================>----------------------] 45.30% | train_error: 1.58 | train_acc: 0.847 
-

-

-
  [=================>----------------------] 45.40% | train_error: 1.58 | train_acc: 0.847 
-

-

-
  [=================>----------------------] 45.50% | train_error: 1.58 | train_acc: 0.848 
-

-

-
  [=================>----------------------] 45.60% | train_error: 1.57 | train_acc: 0.848 
-

-

-
  [=================>----------------------] 45.70% | train_error: 1.57 | train_acc: 0.849 
-

-

-
  [=================>----------------------] 45.80% | train_error: 1.56 | train_acc: 0.849 
-

-

-
  [=================>----------------------] 45.90% | train_error: 1.56 | train_acc: 0.850 
-

-

-
  [=================>----------------------] 46.00% | train_error: 1.55 | train_acc: 0.850 
-

-

-
  [=================>----------------------] 46.10% | train_error: 1.55 | train_acc: 0.851 
-

-

-
  [=================>----------------------] 46.20% | train_error: 1.55 | train_acc: 0.851 
-

-

-
  [=================>----------------------] 46.30% | train_error: 1.54 | train_acc: 0.852 
-

-

-
  [=================>----------------------] 46.40% | train_error: 1.53 | train_acc: 0.852 
-

-

-
  [=================>----------------------] 46.50% | train_error: 1.53 | train_acc: 0.852 
-

-

-
  [=================>----------------------] 46.60% | train_error: 1.53 | train_acc: 0.853 
-

-

-
  [=================>----------------------] 46.70% | train_error: 1.52 | train_acc: 0.853 
-

-

-
  [=================>----------------------] 46.80% | train_error: 1.52 | train_acc: 0.854 
-

-

-
  [=================>----------------------] 46.90% | train_error: 1.52 | train_acc: 0.854 
-

-

-
  [=================>----------------------] 47.00% | train_error: 1.51 | train_acc: 0.854 
-

-

-
  [=================>----------------------] 47.10% | train_error: 1.51 | train_acc: 0.854 
-

-

-
  [=================>----------------------] 47.20% | train_error: 1.50 | train_acc: 0.855 
-

-

-
  [=================>----------------------] 47.30% | train_error: 1.50 | train_acc: 0.855 
-

-

-
  [=================>----------------------] 47.40% | train_error: 1.49 | train_acc: 0.856 
-

-

-
  [==================>---------------------] 47.50% | train_error: 1.47 | train_acc: 0.858 
-

-

-
  [==================>---------------------] 47.60% | train_error: 1.47 | train_acc: 0.858 
-

-

-
  [==================>---------------------] 47.70% | train_error: 1.47 | train_acc: 0.858 
-

-

-
  [==================>---------------------] 47.80% | train_error: 1.46 | train_acc: 0.859 
-

-

-
  [==================>---------------------] 47.90% | train_error: 1.46 | train_acc: 0.859 
-

-

-
  [==================>---------------------] 48.00% | train_error: 1.46 | train_acc: 0.859 
-

-

-
  [==================>---------------------] 48.10% | train_error: 1.46 | train_acc: 0.859 
-

-

-
  [==================>---------------------] 48.20% | train_error: 1.46 | train_acc: 0.859 
-

-

-
  [==================>---------------------] 48.30% | train_error: 1.46 | train_acc: 0.859 
-

-

-
  [==================>---------------------] 48.40% | train_error: 1.45 | train_acc: 0.860 
-

-

-
  [==================>---------------------] 48.50% | train_error: 1.44 | train_acc: 0.861 
-

-

-
  [==================>---------------------] 48.60% | train_error: 1.44 | train_acc: 0.861 
-

-

-
  [==================>---------------------] 48.70% | train_error: 1.44 | train_acc: 0.861 
-

-

-
  [==================>---------------------] 48.80% | train_error: 1.44 | train_acc: 0.861 
-

-

-
  [==================>---------------------] 48.90% | train_error: 1.43 | train_acc: 0.862 
-

-

-
  [==================>---------------------] 49.00% | train_error: 1.42 | train_acc: 0.863 
-

-

-
  [==================>---------------------] 49.10% | train_error: 1.41 | train_acc: 0.864 
-

-

-
  [==================>---------------------] 49.20% | train_error: 1.40 | train_acc: 0.865 
-

-

-
  [==================>---------------------] 49.30% | train_error: 1.39 | train_acc: 0.866 
-

-

-
  [==================>---------------------] 49.40% | train_error: 1.39 | train_acc: 0.866 
-

-

-
  [==================>---------------------] 49.50% | train_error: 1.39 | train_acc: 0.866 
-

-

-
  [==================>---------------------] 49.60% | train_error: 1.39 | train_acc: 0.866 
-

-

-
  [==================>---------------------] 49.70% | train_error: 1.38 | train_acc: 0.867 
-

-

-
  [==================>---------------------] 49.80% | train_error: 1.38 | train_acc: 0.867 
-

-

-
  [==================>---------------------] 49.90% | train_error: 1.37 | train_acc: 0.868 
-

-

-
  [===================>--------------------] 50.00% | train_error: 1.36 | train_acc: 0.869 
-

-

-
  [===================>--------------------] 50.10% | train_error: 1.35 | train_acc: 0.869 
-

-

-
  [===================>--------------------] 50.20% | train_error: 1.35 | train_acc: 0.870 
-

-

-
  [===================>--------------------] 50.30% | train_error: 1.34 | train_acc: 0.870 
-

-

-
  [===================>--------------------] 50.40% | train_error: 1.34 | train_acc: 0.870 
-

-

-
  [===================>--------------------] 50.50% | train_error: 1.34 | train_acc: 0.870 
-

-

-
  [===================>--------------------] 50.60% | train_error: 1.34 | train_acc: 0.871 
-

-

-
  [===================>--------------------] 50.70% | train_error: 1.33 | train_acc: 0.872 
-

-

-
  [===================>--------------------] 50.80% | train_error: 1.32 | train_acc: 0.873 
-

-

-
  [===================>--------------------] 50.90% | train_error: 1.31 | train_acc: 0.873 
-

-

-
  [===================>--------------------] 51.00% | train_error: 1.31 | train_acc: 0.874 
-

-

-
  [===================>--------------------] 51.10% | train_error: 1.31 | train_acc: 0.874 
-

-

-
  [===================>--------------------] 51.20% | train_error: 1.31 | train_acc: 0.874 
-

-

-
  [===================>--------------------] 51.30% | train_error: 1.31 | train_acc: 0.874 
-

-

-
  [===================>--------------------] 51.40% | train_error: 1.31 | train_acc: 0.874 
-

-

-
  [===================>--------------------] 51.50% | train_error: 1.31 | train_acc: 0.874 
-

-

-
  [===================>--------------------] 51.60% | train_error: 1.30 | train_acc: 0.874 
-

-

-
  [===================>--------------------] 51.70% | train_error: 1.30 | train_acc: 0.875 
-

-

-
  [===================>--------------------] 51.80% | train_error: 1.30 | train_acc: 0.875 
-

-

-
  [===================>--------------------] 51.90% | train_error: 1.29 | train_acc: 0.875 
-

-

-
  [===================>--------------------] 52.00% | train_error: 1.29 | train_acc: 0.875 
-

-

-
  [===================>--------------------] 52.10% | train_error: 1.29 | train_acc: 0.875 
-

-

-
  [===================>--------------------] 52.20% | train_error: 1.29 | train_acc: 0.875 
-

-

-
  [===================>--------------------] 52.30% | train_error: 1.29 | train_acc: 0.876 
-

-

-
  [===================>--------------------] 52.40% | train_error: 1.28 | train_acc: 0.876 
-

-

-
  [====================>-------------------] 52.50% | train_error: 1.28 | train_acc: 0.876 
-

-

-
  [====================>-------------------] 52.60% | train_error: 1.28 | train_acc: 0.877 
-

-

-
  [====================>-------------------] 52.70% | train_error: 1.28 | train_acc: 0.877 
-

-

-
  [====================>-------------------] 52.80% | train_error: 1.27 | train_acc: 0.877 
-

-

-
  [====================>-------------------] 52.90% | train_error: 1.27 | train_acc: 0.877 
-

-

-
  [====================>-------------------] 53.00% | train_error: 1.27 | train_acc: 0.877 
-

-

-
  [====================>-------------------] 53.10% | train_error: 1.27 | train_acc: 0.878 
-

-

-
  [====================>-------------------] 53.20% | train_error: 1.26 | train_acc: 0.878 
-

-

-
  [====================>-------------------] 53.30% | train_error: 1.26 | train_acc: 0.878 
-

-

-
  [====================>-------------------] 53.40% | train_error: 1.26 | train_acc: 0.879 
-

-

-
  [====================>-------------------] 53.50% | train_error: 1.25 | train_acc: 0.879 
-

-

-
  [====================>-------------------] 53.60% | train_error: 1.25 | train_acc: 0.880 
-

-

-
  [====================>-------------------] 53.70% | train_error: 1.24 | train_acc: 0.880 
-

-

-
  [====================>-------------------] 53.80% | train_error: 1.24 | train_acc: 0.880 
-

-

-
  [====================>-------------------] 53.90% | train_error: 1.24 | train_acc: 0.880 
-

-

-
  [====================>-------------------] 54.00% | train_error: 1.23 | train_acc: 0.881 
-

-

-
  [====================>-------------------] 54.10% | train_error: 1.22 | train_acc: 0.882 
-

-

-
  [====================>-------------------] 54.20% | train_error: 1.22 | train_acc: 0.882 
-

-

-
  [====================>-------------------] 54.30% | train_error: 1.21 | train_acc: 0.883 
-

-

-
  [====================>-------------------] 54.40% | train_error: 1.21 | train_acc: 0.883 
-

-

-
  [====================>-------------------] 54.50% | train_error: 1.21 | train_acc: 0.883 
-

-

-
  [====================>-------------------] 54.60% | train_error: 1.21 | train_acc: 0.883 
-

-

-
  [====================>-------------------] 54.70% | train_error: 1.21 | train_acc: 0.884 
-

-

-
  [====================>-------------------] 54.80% | train_error: 1.20 | train_acc: 0.884 
-

-

-
  [====================>-------------------] 54.90% | train_error: 1.20 | train_acc: 0.884 
-

-

-
  [=====================>------------------] 55.00% | train_error: 1.20 | train_acc: 0.884 
-

-

-
  [=====================>------------------] 55.10% | train_error: 1.20 | train_acc: 0.884 
-

-

-
  [=====================>------------------] 55.20% | train_error: 1.19 | train_acc: 0.885 
-

-

-
  [=====================>------------------] 55.30% | train_error: 1.19 | train_acc: 0.885 
-

-

-
  [=====================>------------------] 55.40% | train_error: 1.19 | train_acc: 0.885 
-

-

-
  [=====================>------------------] 55.50% | train_error: 1.19 | train_acc: 0.885 
-

-

-
  [=====================>------------------] 55.60% | train_error: 1.19 | train_acc: 0.885 
-

-

-
  [=====================>------------------] 55.70% | train_error: 1.19 | train_acc: 0.885 
-

-

-
  [=====================>------------------] 55.80% | train_error: 1.18 | train_acc: 0.886 
-

-

-
  [=====================>------------------] 55.90% | train_error: 1.19 | train_acc: 0.885 
-

-

-
  [=====================>------------------] 56.00% | train_error: 1.19 | train_acc: 0.885 
-

-

-
  [=====================>------------------] 56.10% | train_error: 1.18 | train_acc: 0.886 
-

-

-
  [=====================>------------------] 56.20% | train_error: 1.18 | train_acc: 0.886 
-

-

-
  [=====================>------------------] 56.30% | train_error: 1.17 | train_acc: 0.887 
-

-

-
  [=====================>------------------] 56.40% | train_error: 1.17 | train_acc: 0.887 
-

-

-
  [=====================>------------------] 56.50% | train_error: 1.17 | train_acc: 0.887 
-

-

-
  [=====================>------------------] 56.60% | train_error: 1.16 | train_acc: 0.888 
-

-

-
  [=====================>------------------] 56.70% | train_error: 1.16 | train_acc: 0.888 
-

-

-
  [=====================>------------------] 56.80% | train_error: 1.15 | train_acc: 0.889 
-

-

-
  [=====================>------------------] 56.90% | train_error: 1.15 | train_acc: 0.889 
-

-

-
  [=====================>------------------] 57.00% | train_error: 1.14 | train_acc: 0.890 
-

-

-
  [=====================>------------------] 57.10% | train_error: 1.14 | train_acc: 0.890 
-

-

-
  [=====================>------------------] 57.20% | train_error: 1.14 | train_acc: 0.890 
-

-

-
  [=====================>------------------] 57.30% | train_error: 1.14 | train_acc: 0.890 
-

-

-
  [=====================>------------------] 57.40% | train_error: 1.13 | train_acc: 0.891 
-

-

-
  [======================>-----------------] 57.50% | train_error: 1.13 | train_acc: 0.891 
-

-

-
  [======================>-----------------] 57.60% | train_error: 1.13 | train_acc: 0.891 
-

-

-
  [======================>-----------------] 57.70% | train_error: 1.12 | train_acc: 0.891 
-

-

-
  [======================>-----------------] 57.80% | train_error: 1.13 | train_acc: 0.891 
-

-

-
  [======================>-----------------] 57.90% | train_error: 1.12 | train_acc: 0.892 
-

-

-
  [======================>-----------------] 58.00% | train_error: 1.11 | train_acc: 0.893 
-

-

-
  [======================>-----------------] 58.10% | train_error: 1.11 | train_acc: 0.893 
-

-

-
  [======================>-----------------] 58.20% | train_error: 1.09 | train_acc: 0.894 
-

-

-
  [======================>-----------------] 58.30% | train_error: 1.09 | train_acc: 0.895 
-

-

-
  [======================>-----------------] 58.40% | train_error: 1.09 | train_acc: 0.895 
-

-

-
  [======================>-----------------] 58.50% | train_error: 1.09 | train_acc: 0.895 
-

-

-
  [======================>-----------------] 58.60% | train_error: 1.09 | train_acc: 0.895 
-

-

-
  [======================>-----------------] 58.70% | train_error: 1.09 | train_acc: 0.895 
-

-

-
  [======================>-----------------] 58.80% | train_error: 1.08 | train_acc: 0.895 
-

-

-
  [======================>-----------------] 58.90% | train_error: 1.08 | train_acc: 0.895 
-

-

-
  [======================>-----------------] 59.00% | train_error: 1.08 | train_acc: 0.896 
-

-

-
  [======================>-----------------] 59.10% | train_error: 1.08 | train_acc: 0.896 
-

-

-
  [======================>-----------------] 59.20% | train_error: 1.08 | train_acc: 0.896 
-

-

-
  [======================>-----------------] 59.30% | train_error: 1.07 | train_acc: 0.896 
-

-

-
  [======================>-----------------] 59.40% | train_error: 1.07 | train_acc: 0.897 
-

-

-
  [======================>-----------------] 59.50% | train_error: 1.06 | train_acc: 0.898 
-

-

-
  [======================>-----------------] 59.60% | train_error: 1.05 | train_acc: 0.898 
-

-

-
  [======================>-----------------] 59.70% | train_error: 1.05 | train_acc: 0.899 
-

-

-
  [======================>-----------------] 59.80% | train_error: 1.04 | train_acc: 0.899 
-

-

-
  [======================>-----------------] 59.90% | train_error: 1.04 | train_acc: 0.899 
-

-

-
  [=======================>----------------] 60.00% | train_error: 1.04 | train_acc: 0.899 
-

-

-
  [=======================>----------------] 60.10% | train_error: 1.04 | train_acc: 0.900 
-

-

-
  [=======================>----------------] 60.20% | train_error: 1.03 | train_acc: 0.900 
-

-

-
  [=======================>----------------] 60.30% | train_error: 1.03 | train_acc: 0.901 
-

-

-
  [=======================>----------------] 60.40% | train_error: 1.03 | train_acc: 0.901 
-

-

-
  [=======================>----------------] 60.50% | train_error: 1.02 | train_acc: 0.901 
-

-

-
  [=======================>----------------] 60.60% | train_error: 1.02 | train_acc: 0.902 
-

-

-
  [=======================>----------------] 60.70% | train_error: 1.01 | train_acc: 0.902 
-

-

-
  [=======================>----------------] 60.80% | train_error: 1.01 | train_acc: 0.903 
-

-

-
  [=======================>----------------] 60.90% | train_error: 1.00 | train_acc: 0.903 
-

-

-
  [=======================>----------------] 61.00% | train_error: 1.00 | train_acc: 0.903 
-

-

-
  [=======================>----------------] 61.10% | train_error: 1.00 | train_acc: 0.903 
-

-

-
  [=======================>----------------] 61.20% | train_error: 1.00 | train_acc: 0.903 
-

-

-
  [=======================>----------------] 61.30% | train_error: 0.999 | train_acc: 0.904 
-

-

-
  [=======================>----------------] 61.40% | train_error: 0.998 | train_acc: 0.904 
-

-

-
  [=======================>----------------] 61.50% | train_error: 0.998 | train_acc: 0.904 
-

-

-
  [=======================>----------------] 61.60% | train_error: 0.994 | train_acc: 0.904 
-

-

-
  [=======================>----------------] 61.70% | train_error: 0.994 | train_acc: 0.904 
-

-

-
  [=======================>----------------] 61.80% | train_error: 0.991 | train_acc: 0.904 
-

-

-
  [=======================>----------------] 61.90% | train_error: 0.987 | train_acc: 0.905 
-

-

-
  [=======================>----------------] 62.00% | train_error: 0.986 | train_acc: 0.905 
-

-

-
  [=======================>----------------] 62.10% | train_error: 0.978 | train_acc: 0.906 
-

-

-
  [=======================>----------------] 62.20% | train_error: 0.976 | train_acc: 0.906 
-

-

-
  [=======================>----------------] 62.30% | train_error: 0.976 | train_acc: 0.906 
-

-

-
  [=======================>----------------] 62.40% | train_error: 0.973 | train_acc: 0.906 
-

-

-
  [========================>---------------] 62.50% | train_error: 0.972 | train_acc: 0.906 
-

-

-
  [========================>---------------] 62.60% | train_error: 0.968 | train_acc: 0.907 
-

-

-
  [========================>---------------] 62.70% | train_error: 0.968 | train_acc: 0.907 
-

-

-
  [========================>---------------] 62.80% | train_error: 0.965 | train_acc: 0.907 
-

-

-
  [========================>---------------] 62.90% | train_error: 0.966 | train_acc: 0.907 
-

-

-
  [========================>---------------] 63.00% | train_error: 0.962 | train_acc: 0.907 
-

-

-
  [========================>---------------] 63.10% | train_error: 0.954 | train_acc: 0.908 
-

-

-
  [========================>---------------] 63.20% | train_error: 0.951 | train_acc: 0.908 
-

-

-
  [========================>---------------] 63.30% | train_error: 0.948 | train_acc: 0.909 
-

-

-
  [========================>---------------] 63.40% | train_error: 0.946 | train_acc: 0.909 
-

-

-
  [========================>---------------] 63.50% | train_error: 0.943 | train_acc: 0.909 
-

-

-
  [========================>---------------] 63.60% | train_error: 0.935 | train_acc: 0.910 
-

-

-
  [========================>---------------] 63.70% | train_error: 0.926 | train_acc: 0.911 
-

-

-
  [========================>---------------] 63.80% | train_error: 0.926 | train_acc: 0.911 
-

-

-
  [========================>---------------] 63.90% | train_error: 0.926 | train_acc: 0.911 
-

-

-
  [========================>---------------] 64.00% | train_error: 0.914 | train_acc: 0.912 
-

-

-
  [========================>---------------] 64.10% | train_error: 0.914 | train_acc: 0.912 
-

-

-
  [========================>---------------] 64.20% | train_error: 0.906 | train_acc: 0.913 
-

-

-
  [========================>---------------] 64.30% | train_error: 0.903 | train_acc: 0.913 
-

-

-
  [========================>---------------] 64.40% | train_error: 0.900 | train_acc: 0.913 
-

-

-
  [========================>---------------] 64.50% | train_error: 0.895 | train_acc: 0.914 
-

-

-
  [========================>---------------] 64.60% | train_error: 0.894 | train_acc: 0.914 
-

-

-
  [========================>---------------] 64.70% | train_error: 0.891 | train_acc: 0.914 
-

-

-
  [========================>---------------] 64.80% | train_error: 0.893 | train_acc: 0.914 
-

-

-
  [========================>---------------] 64.90% | train_error: 0.893 | train_acc: 0.914 
-

-

-
  [=========================>--------------] 65.00% | train_error: 0.890 | train_acc: 0.914 
-

-

-
  [=========================>--------------] 65.10% | train_error: 0.889 | train_acc: 0.914 
-

-

-
  [=========================>--------------] 65.20% | train_error: 0.883 | train_acc: 0.915 
-

-

-
  [=========================>--------------] 65.30% | train_error: 0.880 | train_acc: 0.915 
-

-

-
  [=========================>--------------] 65.40% | train_error: 0.878 | train_acc: 0.915 
-

-

-
  [=========================>--------------] 65.50% | train_error: 0.876 | train_acc: 0.915 
-

-

-
  [=========================>--------------] 65.60% | train_error: 0.875 | train_acc: 0.916 
-

-

-
  [=========================>--------------] 65.70% | train_error: 0.874 | train_acc: 0.916 
-

-

-
  [=========================>--------------] 65.80% | train_error: 0.875 | train_acc: 0.916 
-

-

-
  [=========================>--------------] 65.90% | train_error: 0.873 | train_acc: 0.916 
-

-

-
  [=========================>--------------] 66.00% | train_error: 0.871 | train_acc: 0.916 
-

-

-
  [=========================>--------------] 66.10% | train_error: 0.868 | train_acc: 0.916 
-

-

-
  [=========================>--------------] 66.20% | train_error: 0.866 | train_acc: 0.916 
-

-

-
  [=========================>--------------] 66.30% | train_error: 0.864 | train_acc: 0.917 
-

-

-
  [=========================>--------------] 66.40% | train_error: 0.855 | train_acc: 0.918 
-

-

-
  [=========================>--------------] 66.50% | train_error: 0.851 | train_acc: 0.918 
-

-

-
  [=========================>--------------] 66.60% | train_error: 0.850 | train_acc: 0.918 
-

-

-
  [=========================>--------------] 66.70% | train_error: 0.850 | train_acc: 0.918 
-

-

-
  [=========================>--------------] 66.80% | train_error: 0.848 | train_acc: 0.918 
-

-

-
  [=========================>--------------] 66.90% | train_error: 0.844 | train_acc: 0.919 
-

-

-
  [=========================>--------------] 67.00% | train_error: 0.845 | train_acc: 0.918 
-

-

-
  [=========================>--------------] 67.10% | train_error: 0.842 | train_acc: 0.919 
-

-

-
  [=========================>--------------] 67.20% | train_error: 0.841 | train_acc: 0.919 
-

-

-
  [=========================>--------------] 67.30% | train_error: 0.841 | train_acc: 0.919 
-

-

-
  [=========================>--------------] 67.40% | train_error: 0.836 | train_acc: 0.919 
-

-

-
  [==========================>-------------] 67.50% | train_error: 0.821 | train_acc: 0.921 
-

-

-
  [==========================>-------------] 67.60% | train_error: 0.808 | train_acc: 0.922 
-

-

-
  [==========================>-------------] 67.70% | train_error: 0.805 | train_acc: 0.922 
-

-

-
  [==========================>-------------] 67.80% | train_error: 0.800 | train_acc: 0.923 
-

-

-
  [==========================>-------------] 67.90% | train_error: 0.799 | train_acc: 0.923 
-

-

-
  [==========================>-------------] 68.00% | train_error: 0.792 | train_acc: 0.924 
-

-

-
  [==========================>-------------] 68.10% | train_error: 0.791 | train_acc: 0.924 
-

-

-
  [==========================>-------------] 68.20% | train_error: 0.782 | train_acc: 0.925 
-

-

-
  [==========================>-------------] 68.30% | train_error: 0.774 | train_acc: 0.925 
-

-

-
  [==========================>-------------] 68.40% | train_error: 0.766 | train_acc: 0.926 
-

-

-
  [==========================>-------------] 68.50% | train_error: 0.763 | train_acc: 0.926 
-

-

-
  [==========================>-------------] 68.60% | train_error: 0.757 | train_acc: 0.927 
-

-

-
  [==========================>-------------] 68.70% | train_error: 0.753 | train_acc: 0.927 
-

-

-
  [==========================>-------------] 68.80% | train_error: 0.754 | train_acc: 0.927 
-

-

-
  [==========================>-------------] 68.90% | train_error: 0.747 | train_acc: 0.928 
-

-

-
  [==========================>-------------] 69.00% | train_error: 0.740 | train_acc: 0.929 
-

-

-
  [==========================>-------------] 69.10% | train_error: 0.746 | train_acc: 0.928 
-

-

-
  [==========================>-------------] 69.20% | train_error: 0.737 | train_acc: 0.929 
-

-

-
  [==========================>-------------] 69.30% | train_error: 0.744 | train_acc: 0.928 
-

-

-
  [==========================>-------------] 69.40% | train_error: 0.736 | train_acc: 0.929 
-

-

-
  [==========================>-------------] 69.50% | train_error: 0.745 | train_acc: 0.928 
-

-

-
  [==========================>-------------] 69.60% | train_error: 0.737 | train_acc: 0.929 
-

-

-
  [==========================>-------------] 69.70% | train_error: 0.736 | train_acc: 0.929 
-

-

-
  [==========================>-------------] 69.80% | train_error: 0.724 | train_acc: 0.930 
-

-

-
  [==========================>-------------] 69.90% | train_error: 0.722 | train_acc: 0.930 
-

-

-
  [===========================>------------] 70.00% | train_error: 0.718 | train_acc: 0.931 
-

-

-
  [===========================>------------] 70.10% | train_error: 0.718 | train_acc: 0.931 
-

-

-
  [===========================>------------] 70.20% | train_error: 0.717 | train_acc: 0.931 
-

-

-
  [===========================>------------] 70.30% | train_error: 0.712 | train_acc: 0.931 
-

-

-
  [===========================>------------] 70.40% | train_error: 0.713 | train_acc: 0.931 
-

-

-
  [===========================>------------] 70.50% | train_error: 0.710 | train_acc: 0.931 
-

-

-
  [===========================>------------] 70.60% | train_error: 0.708 | train_acc: 0.932 
-

-

-
  [===========================>------------] 70.70% | train_error: 0.705 | train_acc: 0.932 
-

-

-
  [===========================>------------] 70.80% | train_error: 0.702 | train_acc: 0.932 
-

-

-
  [===========================>------------] 70.90% | train_error: 0.701 | train_acc: 0.932 
-

-

-
  [===========================>------------] 71.00% | train_error: 0.695 | train_acc: 0.933 
-

-

-
  [===========================>------------] 71.10% | train_error: 0.694 | train_acc: 0.933 
-

-

-
  [===========================>------------] 71.20% | train_error: 0.691 | train_acc: 0.933 
-

-

-
  [===========================>------------] 71.30% | train_error: 0.687 | train_acc: 0.934 
-

-

-
  [===========================>------------] 71.40% | train_error: 0.683 | train_acc: 0.934 
-

-

-
  [===========================>------------] 71.50% | train_error: 0.682 | train_acc: 0.934 
-

-

-
  [===========================>------------] 71.60% | train_error: 0.677 | train_acc: 0.935 
-

-

-
  [===========================>------------] 71.70% | train_error: 0.672 | train_acc: 0.935 
-

-

-
  [===========================>------------] 71.80% | train_error: 0.669 | train_acc: 0.935 
-

-

-
  [===========================>------------] 71.90% | train_error: 0.669 | train_acc: 0.935 
-

-

-
  [===========================>------------] 72.00% | train_error: 0.668 | train_acc: 0.936 
-

-

-
  [===========================>------------] 72.10% | train_error: 0.665 | train_acc: 0.936 
-

-

-
  [===========================>------------] 72.20% | train_error: 0.658 | train_acc: 0.936 
-

-

-
  [===========================>------------] 72.30% | train_error: 0.655 | train_acc: 0.937 
-

-

-
  [===========================>------------] 72.40% | train_error: 0.654 | train_acc: 0.937 
-

-

-
  [============================>-----------] 72.50% | train_error: 0.657 | train_acc: 0.937 
-

-

-
  [============================>-----------] 72.60% | train_error: 0.652 | train_acc: 0.937 
-

-

-
  [============================>-----------] 72.70% | train_error: 0.647 | train_acc: 0.938 
-

-

-
  [============================>-----------] 72.80% | train_error: 0.645 | train_acc: 0.938 
-

-

-
  [============================>-----------] 72.90% | train_error: 0.645 | train_acc: 0.938 
-

-

-
  [============================>-----------] 73.00% | train_error: 0.630 | train_acc: 0.939 
-

-

-
  [============================>-----------] 73.10% | train_error: 0.637 | train_acc: 0.939 
-

-

-
  [============================>-----------] 73.20% | train_error: 0.624 | train_acc: 0.940 
-

-

-
  [============================>-----------] 73.30% | train_error: 0.630 | train_acc: 0.939 
-

-

-
  [============================>-----------] 73.40% | train_error: 0.618 | train_acc: 0.940 
-

-

-
  [============================>-----------] 73.50% | train_error: 0.623 | train_acc: 0.940 
-

-

-
  [============================>-----------] 73.60% | train_error: 0.611 | train_acc: 0.941 
-

-

-
  [============================>-----------] 73.70% | train_error: 0.612 | train_acc: 0.941 
-

-

-
  [============================>-----------] 73.80% | train_error: 0.614 | train_acc: 0.941 
-

-

-
  [============================>-----------] 73.90% | train_error: 0.608 | train_acc: 0.941 
-

-

-
  [============================>-----------] 74.00% | train_error: 0.605 | train_acc: 0.942 
-

-

-
  [============================>-----------] 74.10% | train_error: 0.609 | train_acc: 0.941 
-

-

-
  [============================>-----------] 74.20% | train_error: 0.604 | train_acc: 0.942 
-

-

-
  [============================>-----------] 74.30% | train_error: 0.601 | train_acc: 0.942 
-

-

-
  [============================>-----------] 74.40% | train_error: 0.600 | train_acc: 0.942 
-

-

-
  [============================>-----------] 74.50% | train_error: 0.601 | train_acc: 0.942 
-

-

-
  [============================>-----------] 74.60% | train_error: 0.599 | train_acc: 0.942 
-

-

-
  [============================>-----------] 74.70% | train_error: 0.593 | train_acc: 0.943 
-

-

-
  [============================>-----------] 74.80% | train_error: 0.592 | train_acc: 0.943 
-

-

-
  [============================>-----------] 74.90% | train_error: 0.593 | train_acc: 0.943 
-

-

-
  [=============================>----------] 75.00% | train_error: 0.589 | train_acc: 0.943 
-

-

-
  [=============================>----------] 75.10% | train_error: 0.590 | train_acc: 0.943 
-

-

-
  [=============================>----------] 75.20% | train_error: 0.585 | train_acc: 0.944 
-

-

-
  [=============================>----------] 75.30% | train_error: 0.590 | train_acc: 0.943 
-

-

-
  [=============================>----------] 75.40% | train_error: 0.580 | train_acc: 0.944 
-

-

-
  [=============================>----------] 75.50% | train_error: 0.579 | train_acc: 0.944 
-

-

-
  [=============================>----------] 75.60% | train_error: 0.574 | train_acc: 0.945 
-

-

-
  [=============================>----------] 75.70% | train_error: 0.578 | train_acc: 0.944 
-

-

-
  [=============================>----------] 75.80% | train_error: 0.560 | train_acc: 0.946 
-

-

-
  [=============================>----------] 75.90% | train_error: 0.566 | train_acc: 0.945 
-

-

-
  [=============================>----------] 76.00% | train_error: 0.564 | train_acc: 0.946 
-

-

-
  [=============================>----------] 76.10% | train_error: 0.563 | train_acc: 0.946 
-

-

-
  [=============================>----------] 76.20% | train_error: 0.559 | train_acc: 0.946 
-

-

-
  [=============================>----------] 76.30% | train_error: 0.560 | train_acc: 0.946 
-

-

-
  [=============================>----------] 76.40% | train_error: 0.549 | train_acc: 0.947 
-

-

-
  [=============================>----------] 76.50% | train_error: 0.563 | train_acc: 0.946 
-

-

-
  [=============================>----------] 76.60% | train_error: 0.542 | train_acc: 0.948 
-

-

-
  [=============================>----------] 76.70% | train_error: 0.558 | train_acc: 0.946 
-

-

-
  [=============================>----------] 76.80% | train_error: 0.542 | train_acc: 0.948 
-

-

-
  [=============================>----------] 76.90% | train_error: 0.556 | train_acc: 0.946 
-

-

-
  [=============================>----------] 77.00% | train_error: 0.536 | train_acc: 0.948 
-

-

-
  [=============================>----------] 77.10% | train_error: 0.549 | train_acc: 0.947 
-

-

-
  [=============================>----------] 77.20% | train_error: 0.529 | train_acc: 0.949 
-

-

-
  [=============================>----------] 77.30% | train_error: 0.536 | train_acc: 0.948 
-

-

-
  [=============================>----------] 77.40% | train_error: 0.534 | train_acc: 0.949 
-

-

-
  [==============================>---------] 77.50% | train_error: 0.532 | train_acc: 0.949 
-

-

-
  [==============================>---------] 77.60% | train_error: 0.528 | train_acc: 0.949 
-

-

-
  [==============================>---------] 77.70% | train_error: 0.526 | train_acc: 0.949 
-

-

-
  [==============================>---------] 77.80% | train_error: 0.515 | train_acc: 0.950 
-

-

-
  [==============================>---------] 77.90% | train_error: 0.517 | train_acc: 0.950 
-

-

-
  [==============================>---------] 78.00% | train_error: 0.510 | train_acc: 0.951 
-

-

-
  [==============================>---------] 78.10% | train_error: 0.511 | train_acc: 0.951 
-

-

-
  [==============================>---------] 78.20% | train_error: 0.510 | train_acc: 0.951 
-

-

-
  [==============================>---------] 78.30% | train_error: 0.504 | train_acc: 0.951 
-

-

-
  [==============================>---------] 78.40% | train_error: 0.510 | train_acc: 0.951 
-

-

-
  [==============================>---------] 78.50% | train_error: 0.507 | train_acc: 0.951 
-

-

-
  [==============================>---------] 78.60% | train_error: 0.509 | train_acc: 0.951 
-

-

-
  [==============================>---------] 78.70% | train_error: 0.499 | train_acc: 0.952 
-

-

-
  [==============================>---------] 78.80% | train_error: 0.506 | train_acc: 0.951 
-

-

-
  [==============================>---------] 78.90% | train_error: 0.499 | train_acc: 0.952 
-

-

-
  [==============================>---------] 79.00% | train_error: 0.504 | train_acc: 0.951 
-

-

-
  [==============================>---------] 79.10% | train_error: 0.503 | train_acc: 0.952 
-

-

-
  [==============================>---------] 79.20% | train_error: 0.495 | train_acc: 0.952 
-

-

-
  [==============================>---------] 79.30% | train_error: 0.495 | train_acc: 0.952 
-

-

-
  [==============================>---------] 79.40% | train_error: 0.488 | train_acc: 0.953 
-

-

-
  [==============================>---------] 79.50% | train_error: 0.482 | train_acc: 0.953 
-

-

-
  [==============================>---------] 79.60% | train_error: 0.473 | train_acc: 0.954 
-

-

-
  [==============================>---------] 79.70% | train_error: 0.476 | train_acc: 0.954 
-

-

-
  [==============================>---------] 79.80% | train_error: 0.477 | train_acc: 0.954 
-

-

-
  [==============================>---------] 79.90% | train_error: 0.468 | train_acc: 0.955 
-

-

-
  [===============================>--------] 80.00% | train_error: 0.472 | train_acc: 0.954 
-

-

-
  [===============================>--------] 80.10% | train_error: 0.466 | train_acc: 0.955 
-

-

-
  [===============================>--------] 80.20% | train_error: 0.473 | train_acc: 0.954 
-

-

-
  [===============================>--------] 80.30% | train_error: 0.464 | train_acc: 0.955 
-

-

-
  [===============================>--------] 80.40% | train_error: 0.467 | train_acc: 0.955 
-

-

-
  [===============================>--------] 80.50% | train_error: 0.458 | train_acc: 0.956 
-

-

-
  [===============================>--------] 80.60% | train_error: 0.461 | train_acc: 0.955 
-

-

-
  [===============================>--------] 80.70% | train_error: 0.449 | train_acc: 0.957 
-

-

-
  [===============================>--------] 80.80% | train_error: 0.464 | train_acc: 0.955 
-

-

-
  [===============================>--------] 80.90% | train_error: 0.446 | train_acc: 0.957 
-

-

-
  [===============================>--------] 81.00% | train_error: 0.456 | train_acc: 0.956 
-

-

-
  [===============================>--------] 81.10% | train_error: 0.449 | train_acc: 0.957 
-

-

-
  [===============================>--------] 81.20% | train_error: 0.454 | train_acc: 0.956 
-

-

-
  [===============================>--------] 81.30% | train_error: 0.446 | train_acc: 0.957 
-

-

-
  [===============================>--------] 81.40% | train_error: 0.443 | train_acc: 0.957 
-

-

-
  [===============================>--------] 81.50% | train_error: 0.443 | train_acc: 0.957 
-

-

-
  [===============================>--------] 81.60% | train_error: 0.429 | train_acc: 0.959 
-

-

-
  [===============================>--------] 81.70% | train_error: 0.434 | train_acc: 0.958 
-

-

-
  [===============================>--------] 81.80% | train_error: 0.427 | train_acc: 0.959 
-

-

-
  [===============================>--------] 81.90% | train_error: 0.422 | train_acc: 0.959 
-

-

-
  [===============================>--------] 82.00% | train_error: 0.419 | train_acc: 0.960 
-

-

-
  [===============================>--------] 82.10% | train_error: 0.424 | train_acc: 0.959 
-

-

-
  [===============================>--------] 82.20% | train_error: 0.424 | train_acc: 0.959 
-

-

-
  [===============================>--------] 82.30% | train_error: 0.422 | train_acc: 0.959 
-

-

-
  [===============================>--------] 82.40% | train_error: 0.417 | train_acc: 0.960 
-

-

-
  [================================>-------] 82.50% | train_error: 0.413 | train_acc: 0.960 
-

-

-
  [================================>-------] 82.60% | train_error: 0.408 | train_acc: 0.961 
-

-

-
  [================================>-------] 82.70% | train_error: 0.401 | train_acc: 0.961 
-

-

-
  [================================>-------] 82.80% | train_error: 0.402 | train_acc: 0.961 
-

-

-
  [================================>-------] 82.90% | train_error: 0.396 | train_acc: 0.962 
-

-

-
  [================================>-------] 83.00% | train_error: 0.402 | train_acc: 0.961 
-

-

-
  [================================>-------] 83.10% | train_error: 0.399 | train_acc: 0.962 
-

-

-
  [================================>-------] 83.20% | train_error: 0.401 | train_acc: 0.961 
-

-

-
  [================================>-------] 83.30% | train_error: 0.389 | train_acc: 0.962 
-

-

-
  [================================>-------] 83.40% | train_error: 0.397 | train_acc: 0.962 
-

-

-
  [================================>-------] 83.50% | train_error: 0.386 | train_acc: 0.963 
-

-

-
  [================================>-------] 83.60% | train_error: 0.389 | train_acc: 0.963 
-

-

-
  [================================>-------] 83.70% | train_error: 0.386 | train_acc: 0.963 
-

-

-
  [================================>-------] 83.80% | train_error: 0.385 | train_acc: 0.963 
-

-

-
  [================================>-------] 83.90% | train_error: 0.385 | train_acc: 0.963 
-

-

-
  [================================>-------] 84.00% | train_error: 0.382 | train_acc: 0.963 
-

-

-
  [================================>-------] 84.10% | train_error: 0.378 | train_acc: 0.963 
-

-

-
  [================================>-------] 84.20% | train_error: 0.374 | train_acc: 0.964 
-

-

-
  [================================>-------] 84.30% | train_error: 0.372 | train_acc: 0.964 
-

-

-
  [================================>-------] 84.40% | train_error: 0.371 | train_acc: 0.964 
-

-

-
  [================================>-------] 84.50% | train_error: 0.369 | train_acc: 0.964 
-

-

-
  [================================>-------] 84.60% | train_error: 0.364 | train_acc: 0.965 
-

-

-
  [================================>-------] 84.70% | train_error: 0.372 | train_acc: 0.964 
-

-

-
  [================================>-------] 84.80% | train_error: 0.368 | train_acc: 0.964 
-

-

-
  [================================>-------] 84.90% | train_error: 0.362 | train_acc: 0.965 
-

-

-
  [=================================>------] 85.00% | train_error: 0.364 | train_acc: 0.965 
-

-

-
  [=================================>------] 85.10% | train_error: 0.355 | train_acc: 0.966 
-

-

-
  [=================================>------] 85.20% | train_error: 0.356 | train_acc: 0.966 
-

-

-
  [=================================>------] 85.30% | train_error: 0.349 | train_acc: 0.966 
-

-

-
  [=================================>------] 85.40% | train_error: 0.341 | train_acc: 0.967 
-

-

-
  [=================================>------] 85.50% | train_error: 0.347 | train_acc: 0.966 
-

-

-
  [=================================>------] 85.60% | train_error: 0.349 | train_acc: 0.966 
-

-

-
  [=================================>------] 85.70% | train_error: 0.345 | train_acc: 0.967 
-

-

-
  [=================================>------] 85.80% | train_error: 0.346 | train_acc: 0.967 
-

-

-
  [=================================>------] 85.90% | train_error: 0.338 | train_acc: 0.968 
-

-

-
  [=================================>------] 86.00% | train_error: 0.348 | train_acc: 0.966 
-

-

-
  [=================================>------] 86.10% | train_error: 0.344 | train_acc: 0.967 
-

-

-
  [=================================>------] 86.20% | train_error: 0.346 | train_acc: 0.967 
-

-

-
  [=================================>------] 86.30% | train_error: 0.340 | train_acc: 0.967 
-

-

-
  [=================================>------] 86.40% | train_error: 0.339 | train_acc: 0.967 
-

-

-
  [=================================>------] 86.50% | train_error: 0.336 | train_acc: 0.968 
-

-

-
  [=================================>------] 86.60% | train_error: 0.343 | train_acc: 0.967 
-

-

-
  [=================================>------] 86.70% | train_error: 0.336 | train_acc: 0.968 
-

-

-
  [=================================>------] 86.80% | train_error: 0.339 | train_acc: 0.967 
-

-

-
  [=================================>------] 86.90% | train_error: 0.330 | train_acc: 0.968 
-

-

-
  [=================================>------] 87.00% | train_error: 0.338 | train_acc: 0.967 
-

-

-
  [=================================>------] 87.10% | train_error: 0.328 | train_acc: 0.969 
-

-

-
  [=================================>------] 87.20% | train_error: 0.326 | train_acc: 0.969 
-

-

-
  [=================================>------] 87.30% | train_error: 0.317 | train_acc: 0.969 
-

-

-
  [=================================>------] 87.40% | train_error: 0.329 | train_acc: 0.968 
-

-

-
  [==================================>-----] 87.50% | train_error: 0.317 | train_acc: 0.969 
-

-

-
  [==================================>-----] 87.60% | train_error: 0.316 | train_acc: 0.970 
-

-

-
  [==================================>-----] 87.70% | train_error: 0.318 | train_acc: 0.969 
-

-

-
  [==================================>-----] 87.80% | train_error: 0.315 | train_acc: 0.970 
-

-

-
  [==================================>-----] 87.90% | train_error: 0.309 | train_acc: 0.970 
-

-

-
  [==================================>-----] 88.00% | train_error: 0.308 | train_acc: 0.970 
-

-

-
  [==================================>-----] 88.10% | train_error: 0.296 | train_acc: 0.972 
-

-

-
  [==================================>-----] 88.20% | train_error: 0.302 | train_acc: 0.971 
-

-

-
  [==================================>-----] 88.30% | train_error: 0.298 | train_acc: 0.971 
-

-

-
  [==================================>-----] 88.40% | train_error: 0.300 | train_acc: 0.971 
-

-

-
  [==================================>-----] 88.50% | train_error: 0.296 | train_acc: 0.971 
-

-

-
  [==================================>-----] 88.60% | train_error: 0.291 | train_acc: 0.972 
-

-

-
  [==================================>-----] 88.70% | train_error: 0.287 | train_acc: 0.972 
-

-

-
  [==================================>-----] 88.80% | train_error: 0.283 | train_acc: 0.973 
-

-

-
  [==================================>-----] 88.90% | train_error: 0.280 | train_acc: 0.973 
-

-

-
  [==================================>-----] 89.00% | train_error: 0.285 | train_acc: 0.973 
-

-

-
  [==================================>-----] 89.10% | train_error: 0.277 | train_acc: 0.973 
-

-

-
  [==================================>-----] 89.20% | train_error: 0.292 | train_acc: 0.972 
-

-

-
  [==================================>-----] 89.30% | train_error: 0.289 | train_acc: 0.972 
-

-

-
  [==================================>-----] 89.40% | train_error: 0.292 | train_acc: 0.972 
-

-

-
  [==================================>-----] 89.50% | train_error: 0.287 | train_acc: 0.972 
-

-

-
  [==================================>-----] 89.60% | train_error: 0.285 | train_acc: 0.973 
-

-

-
  [==================================>-----] 89.70% | train_error: 0.280 | train_acc: 0.973 
-

-

-
  [==================================>-----] 89.80% | train_error: 0.283 | train_acc: 0.973 
-

-

-
  [==================================>-----] 89.90% | train_error: 0.277 | train_acc: 0.973 
-

-

-
  [===================================>----] 90.00% | train_error: 0.285 | train_acc: 0.973 
-

-

-
  [===================================>----] 90.10% | train_error: 0.278 | train_acc: 0.973 
-

-

-
  [===================================>----] 90.20% | train_error: 0.266 | train_acc: 0.974 
-

-

-
  [===================================>----] 90.30% | train_error: 0.264 | train_acc: 0.975 
-

-

-
  [===================================>----] 90.40% | train_error: 0.271 | train_acc: 0.974 
-

-

-
  [===================================>----] 90.50% | train_error: 0.265 | train_acc: 0.974 
-

-

-
  [===================================>----] 90.60% | train_error: 0.265 | train_acc: 0.974 
-

-

-
  [===================================>----] 90.70% | train_error: 0.258 | train_acc: 0.975 
-

-

-
  [===================================>----] 90.80% | train_error: 0.263 | train_acc: 0.975 
-

-

-
  [===================================>----] 90.90% | train_error: 0.251 | train_acc: 0.976 
-

-

-
  [===================================>----] 91.00% | train_error: 0.248 | train_acc: 0.976 
-

-

-
  [===================================>----] 91.10% | train_error: 0.248 | train_acc: 0.976 
-

-

-
  [===================================>----] 91.20% | train_error: 0.250 | train_acc: 0.976 
-

-

-
  [===================================>----] 91.30% | train_error: 0.243 | train_acc: 0.977 
-

-

-
  [===================================>----] 91.40% | train_error: 0.241 | train_acc: 0.977 
-

-

-
  [===================================>----] 91.50% | train_error: 0.239 | train_acc: 0.977 
-

-

-
  [===================================>----] 91.60% | train_error: 0.240 | train_acc: 0.977 
-

-

-
  [===================================>----] 91.70% | train_error: 0.239 | train_acc: 0.977 
-

-

-
  [===================================>----] 91.80% | train_error: 0.239 | train_acc: 0.977 
-

-

-
  [===================================>----] 91.90% | train_error: 0.235 | train_acc: 0.977 
-

-

-
  [===================================>----] 92.00% | train_error: 0.233 | train_acc: 0.978 
-

-

-
  [===================================>----] 92.10% | train_error: 0.234 | train_acc: 0.977 
-

-

-
  [===================================>----] 92.20% | train_error: 0.240 | train_acc: 0.977 
-

-

-
  [===================================>----] 92.30% | train_error: 0.238 | train_acc: 0.977 
-

-

-
  [===================================>----] 92.40% | train_error: 0.226 | train_acc: 0.978 
-

-

-
  [====================================>---] 92.50% | train_error: 0.226 | train_acc: 0.978 
-

-

-
  [====================================>---] 92.60% | train_error: 0.229 | train_acc: 0.978 
-

-

-
  [====================================>---] 92.70% | train_error: 0.226 | train_acc: 0.978 
-

-

-
  [====================================>---] 92.80% | train_error: 0.218 | train_acc: 0.979 
-

-

-
  [====================================>---] 92.90% | train_error: 0.219 | train_acc: 0.979 
-

-

-
  [====================================>---] 93.00% | train_error: 0.220 | train_acc: 0.979 
-

-

-
  [====================================>---] 93.10% | train_error: 0.216 | train_acc: 0.979 
-

-

-
  [====================================>---] 93.20% | train_error: 0.217 | train_acc: 0.979 
-

-

-
  [====================================>---] 93.30% | train_error: 0.216 | train_acc: 0.979 
-

-

-
  [====================================>---] 93.40% | train_error: 0.216 | train_acc: 0.979 
-

-

-
  [====================================>---] 93.50% | train_error: 0.213 | train_acc: 0.979 
-

-

-
  [====================================>---] 93.60% | train_error: 0.213 | train_acc: 0.979 
-

-

-
  [====================================>---] 93.70% | train_error: 0.213 | train_acc: 0.979 
-

-

-
  [====================================>---] 93.80% | train_error: 0.205 | train_acc: 0.980 
-

-

-
  [====================================>---] 93.90% | train_error: 0.210 | train_acc: 0.980 
-

-

-
  [====================================>---] 94.00% | train_error: 0.211 | train_acc: 0.980 
-

-

-
  [====================================>---] 94.10% | train_error: 0.209 | train_acc: 0.980 
-

-

-
  [====================================>---] 94.20% | train_error: 0.206 | train_acc: 0.980 
-

-

-
  [====================================>---] 94.30% | train_error: 0.204 | train_acc: 0.980 
-

-

-
  [====================================>---] 94.40% | train_error: 0.210 | train_acc: 0.980 
-

-

-
  [====================================>---] 94.50% | train_error: 0.198 | train_acc: 0.981 
-

-

-
  [====================================>---] 94.60% | train_error: 0.198 | train_acc: 0.981 
-

-

-
  [====================================>---] 94.70% | train_error: 0.202 | train_acc: 0.981 
-

-

-
  [====================================>---] 94.80% | train_error: 0.201 | train_acc: 0.981 
-

-

-
  [====================================>---] 94.90% | train_error: 0.202 | train_acc: 0.981 
-

-

-
  [=====================================>--] 95.00% | train_error: 0.195 | train_acc: 0.981 
-

-

-
  [=====================================>--] 95.10% | train_error: 0.203 | train_acc: 0.980 
-

-

-
  [=====================================>--] 95.20% | train_error: 0.197 | train_acc: 0.981 
-

-

-
  [=====================================>--] 95.30% | train_error: 0.201 | train_acc: 0.981 
-

-

-
  [=====================================>--] 95.40% | train_error: 0.187 | train_acc: 0.982 
-

-

-
  [=====================================>--] 95.50% | train_error: 0.197 | train_acc: 0.981 
-

-

-
  [=====================================>--] 95.60% | train_error: 0.187 | train_acc: 0.982 
-

-

-
  [=====================================>--] 95.70% | train_error: 0.195 | train_acc: 0.981 
-

-

-
  [=====================================>--] 95.80% | train_error: 0.195 | train_acc: 0.981 
-

-

-
  [=====================================>--] 95.90% | train_error: 0.190 | train_acc: 0.982 
-

-

-
  [=====================================>--] 96.00% | train_error: 0.190 | train_acc: 0.982 
-

-

-
  [=====================================>--] 96.10% | train_error: 0.194 | train_acc: 0.981 
-

-

-
  [=====================================>--] 96.20% | train_error: 0.187 | train_acc: 0.982 
-

-

-
  [=====================================>--] 96.30% | train_error: 0.190 | train_acc: 0.982 
-

-

-
  [=====================================>--] 96.40% | train_error: 0.190 | train_acc: 0.982 
-

-

-
  [=====================================>--] 96.50% | train_error: 0.195 | train_acc: 0.981 
-

-

-
  [=====================================>--] 96.60% | train_error: 0.188 | train_acc: 0.982 
-

-

-
  [=====================================>--] 96.70% | train_error: 0.188 | train_acc: 0.982 
-

-

-
  [=====================================>--] 96.80% | train_error: 0.190 | train_acc: 0.982 
-

-

-
  [=====================================>--] 96.90% | train_error: 0.191 | train_acc: 0.982 
-

-

-
  [=====================================>--] 97.00% | train_error: 0.188 | train_acc: 0.982 
-

-

-
  [=====================================>--] 97.10% | train_error: 0.189 | train_acc: 0.982 
-

-

-
  [=====================================>--] 97.20% | train_error: 0.175 | train_acc: 0.983 
-

-

-
  [=====================================>--] 97.30% | train_error: 0.189 | train_acc: 0.982 
-

-

-
  [=====================================>--] 97.40% | train_error: 0.183 | train_acc: 0.982 
-

-

-
  [======================================>-] 97.50% | train_error: 0.189 | train_acc: 0.982 
-

-

-
  [======================================>-] 97.60% | train_error: 0.181 | train_acc: 0.983 
-

-

-
  [======================================>-] 97.70% | train_error: 0.188 | train_acc: 0.982 
-

-

-
  [======================================>-] 97.80% | train_error: 0.179 | train_acc: 0.983 
-

-

-
  [======================================>-] 97.90% | train_error: 0.190 | train_acc: 0.982 
-

-

-
  [======================================>-] 98.00% | train_error: 0.186 | train_acc: 0.982 
-

-

-
  [======================================>-] 98.10% | train_error: 0.185 | train_acc: 0.982 
-

-

-
  [======================================>-] 98.20% | train_error: 0.182 | train_acc: 0.982 
-

-

-
  [======================================>-] 98.30% | train_error: 0.182 | train_acc: 0.982 
-

-

-
  [======================================>-] 98.40% | train_error: 0.171 | train_acc: 0.984 
-

-

-
  [======================================>-] 98.50% | train_error: 0.178 | train_acc: 0.983 
-

-

-
  [======================================>-] 98.60% | train_error: 0.170 | train_acc: 0.984 
-

-

-
  [======================================>-] 98.70% | train_error: 0.181 | train_acc: 0.983 
-

-

-
  [======================================>-] 98.80% | train_error: 0.166 | train_acc: 0.984 
-

-

-
  [======================================>-] 98.90% | train_error: 0.175 | train_acc: 0.983 
-

-

-
  [======================================>-] 99.00% | train_error: 0.173 | train_acc: 0.983 
-

-

-
  [======================================>-] 99.10% | train_error: 0.173 | train_acc: 0.983 
-

-

-
  [======================================>-] 99.20% | train_error: 0.171 | train_acc: 0.984 
-

-

-
  [======================================>-] 99.30% | train_error: 0.168 | train_acc: 0.984 
-

-

-
  [======================================>-] 99.40% | train_error: 0.167 | train_acc: 0.984 
-

-

-
  [======================================>-] 99.50% | train_error: 0.174 | train_acc: 0.983 
-

-

-
  [======================================>-] 99.60% | train_error: 0.158 | train_acc: 0.985 
-

-

-
  [======================================>-] 99.70% | train_error: 0.173 | train_acc: 0.983 
-

-

-
  [======================================>-] 99.80% | train_error: 0.164 | train_acc: 0.984 
-

-

-
  [======================================>-] 99.90% | train_error: 0.175 | train_acc: 0.983 
-

-

-
                                                                                            
-

-

-
  [=======================================>] 100.0% | train_error: 0.175 | train_acc: 0.983 
-

-

-
@@ -15478,3016 +10720,6 @@ digits between the range of 0 to 9.

-
-
Adam: Eta=0.1, Lambda=0
-
-  [----------------------------------------] 0.000% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [----------------------------------------] 0.1000% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [----------------------------------------] 0.2000% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [----------------------------------------] 0.3000% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [----------------------------------------] 0.4000% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [----------------------------------------] 0.5000% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [----------------------------------------] 0.6000% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [----------------------------------------] 0.7000% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [----------------------------------------] 0.8000% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [----------------------------------------] 0.9000% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [----------------------------------------] 1.000% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [----------------------------------------] 1.100% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [----------------------------------------] 1.200% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [----------------------------------------] 1.300% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [----------------------------------------] 1.400% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [----------------------------------------] 1.500% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [----------------------------------------] 1.600% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [----------------------------------------] 1.700% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [----------------------------------------] 1.800% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [----------------------------------------] 1.900% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [----------------------------------------] 2.000% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [----------------------------------------] 2.100% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [----------------------------------------] 2.200% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [----------------------------------------] 2.300% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [----------------------------------------] 2.400% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [>---------------------------------------] 2.500% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [>---------------------------------------] 2.600% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [>---------------------------------------] 2.700% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [>---------------------------------------] 2.800% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [>---------------------------------------] 2.900% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [>---------------------------------------] 3.000% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [>---------------------------------------] 3.100% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [>---------------------------------------] 3.200% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [>---------------------------------------] 3.300% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [>---------------------------------------] 3.400% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [>---------------------------------------] 3.500% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [>---------------------------------------] 3.600% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [>---------------------------------------] 3.700% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [>---------------------------------------] 3.800% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [>---------------------------------------] 3.900% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [>---------------------------------------] 4.000% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [>---------------------------------------] 4.100% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [>---------------------------------------] 4.200% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [>---------------------------------------] 4.300% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [>---------------------------------------] 4.400% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [>---------------------------------------] 4.500% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [>---------------------------------------] 4.600% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [>---------------------------------------] 4.700% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [>---------------------------------------] 4.800% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [>---------------------------------------] 4.900% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [=>--------------------------------------] 5.000% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [=>--------------------------------------] 5.100% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [=>--------------------------------------] 5.200% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [=>--------------------------------------] 5.300% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [=>--------------------------------------] 5.400% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [=>--------------------------------------] 5.500% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [=>--------------------------------------] 5.600% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [=>--------------------------------------] 5.700% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [=>--------------------------------------] 5.800% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [=>--------------------------------------] 5.900% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [=>--------------------------------------] 6.000% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [=>--------------------------------------] 6.100% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [=>--------------------------------------] 6.200% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [=>--------------------------------------] 6.300% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [=>--------------------------------------] 6.400% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [=>--------------------------------------] 6.500% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [=>--------------------------------------] 6.600% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [=>--------------------------------------] 6.700% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [=>--------------------------------------] 6.800% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [=>--------------------------------------] 6.900% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [=>--------------------------------------] 7.000% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [=>--------------------------------------] 7.100% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [=>--------------------------------------] 7.200% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [=>--------------------------------------] 7.300% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [=>--------------------------------------] 7.400% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [==>-------------------------------------] 7.500% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [==>-------------------------------------] 7.600% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [==>-------------------------------------] 7.700% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [==>-------------------------------------] 7.800% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [==>-------------------------------------] 7.900% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [==>-------------------------------------] 8.000% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [==>-------------------------------------] 8.100% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [==>-------------------------------------] 8.200% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [==>-------------------------------------] 8.300% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [==>-------------------------------------] 8.400% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [==>-------------------------------------] 8.500% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [==>-------------------------------------] 8.600% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [==>-------------------------------------] 8.700% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [==>-------------------------------------] 8.800% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [==>-------------------------------------] 8.900% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [==>-------------------------------------] 9.000% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [==>-------------------------------------] 9.100% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [==>-------------------------------------] 9.200% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [==>-------------------------------------] 9.300% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [==>-------------------------------------] 9.400% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [==>-------------------------------------] 9.500% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [==>-------------------------------------] 9.600% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [==>-------------------------------------] 9.700% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [==>-------------------------------------] 9.800% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [==>-------------------------------------] 9.900% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [===>------------------------------------] 10.00% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [===>------------------------------------] 10.10% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [===>------------------------------------] 10.20% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [===>------------------------------------] 10.30% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [===>------------------------------------] 10.40% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [===>------------------------------------] 10.50% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [===>------------------------------------] 10.60% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [===>------------------------------------] 10.70% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [===>------------------------------------] 10.80% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [===>------------------------------------] 10.90% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [===>------------------------------------] 11.00% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [===>------------------------------------] 11.10% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [===>------------------------------------] 11.20% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [===>------------------------------------] 11.30% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [===>------------------------------------] 11.40% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [===>------------------------------------] 11.50% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [===>------------------------------------] 11.60% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [===>------------------------------------] 11.70% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [===>------------------------------------] 11.80% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [===>------------------------------------] 11.90% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [===>------------------------------------] 12.00% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [===>------------------------------------] 12.10% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [===>------------------------------------] 12.20% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [===>------------------------------------] 12.30% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [===>------------------------------------] 12.40% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [====>-----------------------------------] 12.50% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [====>-----------------------------------] 12.60% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [====>-----------------------------------] 12.70% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [====>-----------------------------------] 12.80% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [====>-----------------------------------] 12.90% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [====>-----------------------------------] 13.00% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [====>-----------------------------------] 13.10% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [====>-----------------------------------] 13.20% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [====>-----------------------------------] 13.30% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [====>-----------------------------------] 13.40% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [====>-----------------------------------] 13.50% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [====>-----------------------------------] 13.60% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [====>-----------------------------------] 13.70% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [====>-----------------------------------] 13.80% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [====>-----------------------------------] 13.90% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [====>-----------------------------------] 14.00% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [====>-----------------------------------] 14.10% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [====>-----------------------------------] 14.20% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [====>-----------------------------------] 14.30% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [====>-----------------------------------] 14.40% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [====>-----------------------------------] 14.50% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [====>-----------------------------------] 14.60% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [====>-----------------------------------] 14.70% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [====>-----------------------------------] 14.80% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [====>-----------------------------------] 14.90% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [=====>----------------------------------] 15.00% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [=====>----------------------------------] 15.10% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [=====>----------------------------------] 15.20% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [=====>----------------------------------] 15.30% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [=====>----------------------------------] 15.40% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [=====>----------------------------------] 15.50% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [=====>----------------------------------] 15.60% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [=====>----------------------------------] 15.70% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [=====>----------------------------------] 15.80% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [=====>----------------------------------] 15.90% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [=====>----------------------------------] 16.00% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [=====>----------------------------------] 16.10% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [=====>----------------------------------] 16.20% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [=====>----------------------------------] 16.30% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [=====>----------------------------------] 16.40% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [=====>----------------------------------] 16.50% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [=====>----------------------------------] 16.60% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [=====>----------------------------------] 16.70% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [=====>----------------------------------] 16.80% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [=====>----------------------------------] 16.90% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [=====>----------------------------------] 17.00% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [=====>----------------------------------] 17.10% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [=====>----------------------------------] 17.20% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [=====>----------------------------------] 17.30% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [=====>----------------------------------] 17.40% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [======>---------------------------------] 17.50% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [======>---------------------------------] 17.60% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [======>---------------------------------] 17.70% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [======>---------------------------------] 17.80% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [======>---------------------------------] 17.90% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [======>---------------------------------] 18.00% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [======>---------------------------------] 18.10% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [======>---------------------------------] 18.20% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [======>---------------------------------] 18.30% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [======>---------------------------------] 18.40% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [======>---------------------------------] 18.50% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [======>---------------------------------] 18.60% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [======>---------------------------------] 18.70% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [======>---------------------------------] 18.80% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [======>---------------------------------] 18.90% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [======>---------------------------------] 19.00% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [======>---------------------------------] 19.10% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [======>---------------------------------] 19.20% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [======>---------------------------------] 19.30% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [======>---------------------------------] 19.40% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [======>---------------------------------] 19.50% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [======>---------------------------------] 19.60% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [======>---------------------------------] 19.70% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [======>---------------------------------] 19.80% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [======>---------------------------------] 19.90% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [=======>--------------------------------] 20.00% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [=======>--------------------------------] 20.10% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [=======>--------------------------------] 20.20% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [=======>--------------------------------] 20.30% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [=======>--------------------------------] 20.40% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [=======>--------------------------------] 20.50% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [=======>--------------------------------] 20.60% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [=======>--------------------------------] 20.70% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [=======>--------------------------------] 20.80% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [=======>--------------------------------] 20.90% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [=======>--------------------------------] 21.00% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [=======>--------------------------------] 21.10% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [=======>--------------------------------] 21.20% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [=======>--------------------------------] 21.30% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [=======>--------------------------------] 21.40% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [=======>--------------------------------] 21.50% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [=======>--------------------------------] 21.60% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [=======>--------------------------------] 21.70% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [=======>--------------------------------] 21.80% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [=======>--------------------------------] 21.90% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [=======>--------------------------------] 22.00% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [=======>--------------------------------] 22.10% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [=======>--------------------------------] 22.20% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [=======>--------------------------------] 22.30% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [=======>--------------------------------] 22.40% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [========>-------------------------------] 22.50% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [========>-------------------------------] 22.60% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [========>-------------------------------] 22.70% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [========>-------------------------------] 22.80% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [========>-------------------------------] 22.90% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [========>-------------------------------] 23.00% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [========>-------------------------------] 23.10% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [========>-------------------------------] 23.20% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [========>-------------------------------] 23.30% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [========>-------------------------------] 23.40% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [========>-------------------------------] 23.50% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [========>-------------------------------] 23.60% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [========>-------------------------------] 23.70% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [========>-------------------------------] 23.80% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [========>-------------------------------] 23.90% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [========>-------------------------------] 24.00% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [========>-------------------------------] 24.10% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [========>-------------------------------] 24.20% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [========>-------------------------------] 24.30% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [========>-------------------------------] 24.40% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [========>-------------------------------] 24.50% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [========>-------------------------------] 24.60% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [========>-------------------------------] 24.70% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [========>-------------------------------] 24.80% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [========>-------------------------------] 24.90% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [=========>------------------------------] 25.00% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [=========>------------------------------] 25.10% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [=========>------------------------------] 25.20% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [=========>------------------------------] 25.30% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [=========>------------------------------] 25.40% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [=========>------------------------------] 25.50% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [=========>------------------------------] 25.60% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [=========>------------------------------] 25.70% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [=========>------------------------------] 25.80% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [=========>------------------------------] 25.90% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [=========>------------------------------] 26.00% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [=========>------------------------------] 26.10% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [=========>------------------------------] 26.20% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [=========>------------------------------] 26.30% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [=========>------------------------------] 26.40% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [=========>------------------------------] 26.50% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [=========>------------------------------] 26.60% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [=========>------------------------------] 26.70% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [=========>------------------------------] 26.80% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [=========>------------------------------] 26.90% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [=========>------------------------------] 27.00% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [=========>------------------------------] 27.10% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [=========>------------------------------] 27.20% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [=========>------------------------------] 27.30% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [=========>------------------------------] 27.40% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [==========>-----------------------------] 27.50% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [==========>-----------------------------] 27.60% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [==========>-----------------------------] 27.70% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [==========>-----------------------------] 27.80% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [==========>-----------------------------] 27.90% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [==========>-----------------------------] 28.00% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [==========>-----------------------------] 28.10% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [==========>-----------------------------] 28.20% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [==========>-----------------------------] 28.30% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [==========>-----------------------------] 28.40% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [==========>-----------------------------] 28.50% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [==========>-----------------------------] 28.60% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [==========>-----------------------------] 28.70% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [==========>-----------------------------] 28.80% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [==========>-----------------------------] 28.90% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [==========>-----------------------------] 29.00% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [==========>-----------------------------] 29.10% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [==========>-----------------------------] 29.20% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [==========>-----------------------------] 29.30% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [==========>-----------------------------] 29.40% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [==========>-----------------------------] 29.50% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [==========>-----------------------------] 29.60% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [==========>-----------------------------] 29.70% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [==========>-----------------------------] 29.80% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [==========>-----------------------------] 29.90% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [===========>----------------------------] 30.00% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [===========>----------------------------] 30.10% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [===========>----------------------------] 30.20% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [===========>----------------------------] 30.30% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [===========>----------------------------] 30.40% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [===========>----------------------------] 30.50% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [===========>----------------------------] 30.60% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [===========>----------------------------] 30.70% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [===========>----------------------------] 30.80% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [===========>----------------------------] 30.90% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [===========>----------------------------] 31.00% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [===========>----------------------------] 31.10% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [===========>----------------------------] 31.20% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [===========>----------------------------] 31.30% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [===========>----------------------------] 31.40% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [===========>----------------------------] 31.50% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [===========>----------------------------] 31.60% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [===========>----------------------------] 31.70% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [===========>----------------------------] 31.80% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [===========>----------------------------] 31.90% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [===========>----------------------------] 32.00% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [===========>----------------------------] 32.10% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [===========>----------------------------] 32.20% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [===========>----------------------------] 32.30% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [===========>----------------------------] 32.40% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [============>---------------------------] 32.50% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [============>---------------------------] 32.60% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [============>---------------------------] 32.70% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [============>---------------------------] 32.80% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [============>---------------------------] 32.90% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [============>---------------------------] 33.00% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [============>---------------------------] 33.10% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [============>---------------------------] 33.20% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [============>---------------------------] 33.30% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [============>---------------------------] 33.40% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [============>---------------------------] 33.50% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [============>---------------------------] 33.60% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [============>---------------------------] 33.70% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [============>---------------------------] 33.80% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [============>---------------------------] 33.90% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [============>---------------------------] 34.00% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [============>---------------------------] 34.10% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [============>---------------------------] 34.20% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [============>---------------------------] 34.30% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [============>---------------------------] 34.40% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [============>---------------------------] 34.50% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [============>---------------------------] 34.60% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [============>---------------------------] 34.70% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [============>---------------------------] 34.80% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [============>---------------------------] 34.90% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [=============>--------------------------] 35.00% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [=============>--------------------------] 35.10% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [=============>--------------------------] 35.20% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [=============>--------------------------] 35.30% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [=============>--------------------------] 35.40% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [=============>--------------------------] 35.50% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [=============>--------------------------] 35.60% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [=============>--------------------------] 35.70% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [=============>--------------------------] 35.80% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [=============>--------------------------] 35.90% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [=============>--------------------------] 36.00% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [=============>--------------------------] 36.10% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [=============>--------------------------] 36.20% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [=============>--------------------------] 36.30% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [=============>--------------------------] 36.40% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [=============>--------------------------] 36.50% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [=============>--------------------------] 36.60% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [=============>--------------------------] 36.70% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [=============>--------------------------] 36.80% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [=============>--------------------------] 36.90% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [=============>--------------------------] 37.00% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [=============>--------------------------] 37.10% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [=============>--------------------------] 37.20% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [=============>--------------------------] 37.30% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [=============>--------------------------] 37.40% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [==============>-------------------------] 37.50% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [==============>-------------------------] 37.60% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [==============>-------------------------] 37.70% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [==============>-------------------------] 37.80% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [==============>-------------------------] 37.90% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [==============>-------------------------] 38.00% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [==============>-------------------------] 38.10% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [==============>-------------------------] 38.20% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [==============>-------------------------] 38.30% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [==============>-------------------------] 38.40% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [==============>-------------------------] 38.50% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [==============>-------------------------] 38.60% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [==============>-------------------------] 38.70% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [==============>-------------------------] 38.80% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [==============>-------------------------] 38.90% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [==============>-------------------------] 39.00% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [==============>-------------------------] 39.10% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [==============>-------------------------] 39.20% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [==============>-------------------------] 39.30% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [==============>-------------------------] 39.40% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [==============>-------------------------] 39.50% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [==============>-------------------------] 39.60% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [==============>-------------------------] 39.70% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [==============>-------------------------] 39.80% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [==============>-------------------------] 39.90% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [===============>------------------------] 40.00% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [===============>------------------------] 40.10% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [===============>------------------------] 40.20% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [===============>------------------------] 40.30% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [===============>------------------------] 40.40% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [===============>------------------------] 40.50% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [===============>------------------------] 40.60% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [===============>------------------------] 40.70% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [===============>------------------------] 40.80% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [===============>------------------------] 40.90% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [===============>------------------------] 41.00% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [===============>------------------------] 41.10% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [===============>------------------------] 41.20% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [===============>------------------------] 41.30% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [===============>------------------------] 41.40% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [===============>------------------------] 41.50% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [===============>------------------------] 41.60% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [===============>------------------------] 41.70% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [===============>------------------------] 41.80% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [===============>------------------------] 41.90% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [===============>------------------------] 42.00% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [===============>------------------------] 42.10% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [===============>------------------------] 42.20% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [===============>------------------------] 42.30% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [===============>------------------------] 42.40% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [================>-----------------------] 42.50% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [================>-----------------------] 42.60% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [================>-----------------------] 42.70% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [================>-----------------------] 42.80% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [================>-----------------------] 42.90% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [================>-----------------------] 43.00% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [================>-----------------------] 43.10% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [================>-----------------------] 43.20% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [================>-----------------------] 43.30% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [================>-----------------------] 43.40% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [================>-----------------------] 43.50% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [================>-----------------------] 43.60% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [================>-----------------------] 43.70% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [================>-----------------------] 43.80% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [================>-----------------------] 43.90% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [================>-----------------------] 44.00% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [================>-----------------------] 44.10% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [================>-----------------------] 44.20% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [================>-----------------------] 44.30% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [================>-----------------------] 44.40% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [================>-----------------------] 44.50% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [================>-----------------------] 44.60% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [================>-----------------------] 44.70% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [================>-----------------------] 44.80% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [================>-----------------------] 44.90% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [=================>----------------------] 45.00% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [=================>----------------------] 45.10% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [=================>----------------------] 45.20% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [=================>----------------------] 45.30% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [=================>----------------------] 45.40% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [=================>----------------------] 45.50% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [=================>----------------------] 45.60% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [=================>----------------------] 45.70% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [=================>----------------------] 45.80% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [=================>----------------------] 45.90% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [=================>----------------------] 46.00% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [=================>----------------------] 46.10% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [=================>----------------------] 46.20% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [=================>----------------------] 46.30% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [=================>----------------------] 46.40% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [=================>----------------------] 46.50% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [=================>----------------------] 46.60% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [=================>----------------------] 46.70% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [=================>----------------------] 46.80% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [=================>----------------------] 46.90% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [=================>----------------------] 47.00% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [=================>----------------------] 47.10% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [=================>----------------------] 47.20% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [=================>----------------------] 47.30% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [=================>----------------------] 47.40% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [==================>---------------------] 47.50% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [==================>---------------------] 47.60% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [==================>---------------------] 47.70% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [==================>---------------------] 47.80% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [==================>---------------------] 47.90% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [==================>---------------------] 48.00% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [==================>---------------------] 48.10% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [==================>---------------------] 48.20% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [==================>---------------------] 48.30% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [==================>---------------------] 48.40% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [==================>---------------------] 48.50% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [==================>---------------------] 48.60% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [==================>---------------------] 48.70% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [==================>---------------------] 48.80% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [==================>---------------------] 48.90% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [==================>---------------------] 49.00% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [==================>---------------------] 49.10% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [==================>---------------------] 49.20% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [==================>---------------------] 49.30% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [==================>---------------------] 49.40% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [==================>---------------------] 49.50% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [==================>---------------------] 49.60% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [==================>---------------------] 49.70% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [==================>---------------------] 49.80% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [==================>---------------------] 49.90% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [===================>--------------------] 50.00% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [===================>--------------------] 50.10% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [===================>--------------------] 50.20% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [===================>--------------------] 50.30% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [===================>--------------------] 50.40% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [===================>--------------------] 50.50% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [===================>--------------------] 50.60% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [===================>--------------------] 50.70% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [===================>--------------------] 50.80% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [===================>--------------------] 50.90% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [===================>--------------------] 51.00% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [===================>--------------------] 51.10% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [===================>--------------------] 51.20% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [===================>--------------------] 51.30% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [===================>--------------------] 51.40% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [===================>--------------------] 51.50% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [===================>--------------------] 51.60% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [===================>--------------------] 51.70% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [===================>--------------------] 51.80% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [===================>--------------------] 51.90% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [===================>--------------------] 52.00% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [===================>--------------------] 52.10% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [===================>--------------------] 52.20% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [===================>--------------------] 52.30% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [===================>--------------------] 52.40% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [====================>-------------------] 52.50% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [====================>-------------------] 52.60% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [====================>-------------------] 52.70% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [====================>-------------------] 52.80% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [====================>-------------------] 52.90% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [====================>-------------------] 53.00% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [====================>-------------------] 53.10% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [====================>-------------------] 53.20% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [====================>-------------------] 53.30% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [====================>-------------------] 53.40% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [====================>-------------------] 53.50% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [====================>-------------------] 53.60% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [====================>-------------------] 53.70% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [====================>-------------------] 53.80% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [====================>-------------------] 53.90% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [====================>-------------------] 54.00% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [====================>-------------------] 54.10% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [====================>-------------------] 54.20% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [====================>-------------------] 54.30% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [====================>-------------------] 54.40% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [====================>-------------------] 54.50% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [====================>-------------------] 54.60% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [====================>-------------------] 54.70% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [====================>-------------------] 54.80% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [====================>-------------------] 54.90% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [=====================>------------------] 55.00% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [=====================>------------------] 55.10% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [=====================>------------------] 55.20% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [=====================>------------------] 55.30% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [=====================>------------------] 55.40% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [=====================>------------------] 55.50% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [=====================>------------------] 55.60% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [=====================>------------------] 55.70% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [=====================>------------------] 55.80% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [=====================>------------------] 55.90% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [=====================>------------------] 56.00% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [=====================>------------------] 56.10% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [=====================>------------------] 56.20% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [=====================>------------------] 56.30% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [=====================>------------------] 56.40% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [=====================>------------------] 56.50% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [=====================>------------------] 56.60% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [=====================>------------------] 56.70% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [=====================>------------------] 56.80% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [=====================>------------------] 56.90% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [=====================>------------------] 57.00% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [=====================>------------------] 57.10% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [=====================>------------------] 57.20% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [=====================>------------------] 57.30% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [=====================>------------------] 57.40% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [======================>-----------------] 57.50% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [======================>-----------------] 57.60% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [======================>-----------------] 57.70% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [======================>-----------------] 57.80% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [======================>-----------------] 57.90% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [======================>-----------------] 58.00% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [======================>-----------------] 58.10% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [======================>-----------------] 58.20% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [======================>-----------------] 58.30% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [======================>-----------------] 58.40% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [======================>-----------------] 58.50% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [======================>-----------------] 58.60% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [======================>-----------------] 58.70% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [======================>-----------------] 58.80% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [======================>-----------------] 58.90% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [======================>-----------------] 59.00% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [======================>-----------------] 59.10% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [======================>-----------------] 59.20% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [======================>-----------------] 59.30% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [======================>-----------------] 59.40% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [======================>-----------------] 59.50% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [======================>-----------------] 59.60% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [======================>-----------------] 59.70% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [======================>-----------------] 59.80% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [======================>-----------------] 59.90% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [=======================>----------------] 60.00% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [=======================>----------------] 60.10% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [=======================>----------------] 60.20% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [=======================>----------------] 60.30% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [=======================>----------------] 60.40% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [=======================>----------------] 60.50% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [=======================>----------------] 60.60% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [=======================>----------------] 60.70% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [=======================>----------------] 60.80% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [=======================>----------------] 60.90% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [=======================>----------------] 61.00% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [=======================>----------------] 61.10% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [=======================>----------------] 61.20% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [=======================>----------------] 61.30% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [=======================>----------------] 61.40% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [=======================>----------------] 61.50% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [=======================>----------------] 61.60% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [=======================>----------------] 61.70% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [=======================>----------------] 61.80% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [=======================>----------------] 61.90% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [=======================>----------------] 62.00% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [=======================>----------------] 62.10% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [=======================>----------------] 62.20% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [=======================>----------------] 62.30% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [=======================>----------------] 62.40% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [========================>---------------] 62.50% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [========================>---------------] 62.60% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [========================>---------------] 62.70% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [========================>---------------] 62.80% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [========================>---------------] 62.90% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [========================>---------------] 63.00% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [========================>---------------] 63.10% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [========================>---------------] 63.20% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [========================>---------------] 63.30% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [========================>---------------] 63.40% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [========================>---------------] 63.50% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [========================>---------------] 63.60% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [========================>---------------] 63.70% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [========================>---------------] 63.80% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [========================>---------------] 63.90% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [========================>---------------] 64.00% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [========================>---------------] 64.10% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [========================>---------------] 64.20% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [========================>---------------] 64.30% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [========================>---------------] 64.40% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [========================>---------------] 64.50% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [========================>---------------] 64.60% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [========================>---------------] 64.70% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [========================>---------------] 64.80% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [========================>---------------] 64.90% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [=========================>--------------] 65.00% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [=========================>--------------] 65.10% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [=========================>--------------] 65.20% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [=========================>--------------] 65.30% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [=========================>--------------] 65.40% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [=========================>--------------] 65.50% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [=========================>--------------] 65.60% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [=========================>--------------] 65.70% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [=========================>--------------] 65.80% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [=========================>--------------] 65.90% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [=========================>--------------] 66.00% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [=========================>--------------] 66.10% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [=========================>--------------] 66.20% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [=========================>--------------] 66.30% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [=========================>--------------] 66.40% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [=========================>--------------] 66.50% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [=========================>--------------] 66.60% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [=========================>--------------] 66.70% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [=========================>--------------] 66.80% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [=========================>--------------] 66.90% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [=========================>--------------] 67.00% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [=========================>--------------] 67.10% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [=========================>--------------] 67.20% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [=========================>--------------] 67.30% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [=========================>--------------] 67.40% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [==========================>-------------] 67.50% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [==========================>-------------] 67.60% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [==========================>-------------] 67.70% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [==========================>-------------] 67.80% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [==========================>-------------] 67.90% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [==========================>-------------] 68.00% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [==========================>-------------] 68.10% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [==========================>-------------] 68.20% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [==========================>-------------] 68.30% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [==========================>-------------] 68.40% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [==========================>-------------] 68.50% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [==========================>-------------] 68.60% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [==========================>-------------] 68.70% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [==========================>-------------] 68.80% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [==========================>-------------] 68.90% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [==========================>-------------] 69.00% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [==========================>-------------] 69.10% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [==========================>-------------] 69.20% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [==========================>-------------] 69.30% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [==========================>-------------] 69.40% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [==========================>-------------] 69.50% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [==========================>-------------] 69.60% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [==========================>-------------] 69.70% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [==========================>-------------] 69.80% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [==========================>-------------] 69.90% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [===========================>------------] 70.00% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [===========================>------------] 70.10% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [===========================>------------] 70.20% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [===========================>------------] 70.30% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [===========================>------------] 70.40% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [===========================>------------] 70.50% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [===========================>------------] 70.60% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [===========================>------------] 70.70% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [===========================>------------] 70.80% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [===========================>------------] 70.90% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [===========================>------------] 71.00% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [===========================>------------] 71.10% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [===========================>------------] 71.20% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [===========================>------------] 71.30% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [===========================>------------] 71.40% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [===========================>------------] 71.50% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [===========================>------------] 71.60% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [===========================>------------] 71.70% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [===========================>------------] 71.80% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [===========================>------------] 71.90% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [===========================>------------] 72.00% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [===========================>------------] 72.10% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [===========================>------------] 72.20% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [===========================>------------] 72.30% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [===========================>------------] 72.40% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [============================>-----------] 72.50% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [============================>-----------] 72.60% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [============================>-----------] 72.70% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [============================>-----------] 72.80% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [============================>-----------] 72.90% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [============================>-----------] 73.00% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [============================>-----------] 73.10% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [============================>-----------] 73.20% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [============================>-----------] 73.30% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [============================>-----------] 73.40% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [============================>-----------] 73.50% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [============================>-----------] 73.60% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [============================>-----------] 73.70% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [============================>-----------] 73.80% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [============================>-----------] 73.90% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [============================>-----------] 74.00% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [============================>-----------] 74.10% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [============================>-----------] 74.20% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [============================>-----------] 74.30% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [============================>-----------] 74.40% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [============================>-----------] 74.50% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [============================>-----------] 74.60% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [============================>-----------] 74.70% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [============================>-----------] 74.80% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [============================>-----------] 74.90% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [=============================>----------] 75.00% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [=============================>----------] 75.10% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [=============================>----------] 75.20% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [=============================>----------] 75.30% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [=============================>----------] 75.40% | train_error: 10.4 | train_acc: 0.500 
-
-
-
  [=============================>----------] 75.50% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [=============================>----------] 75.60% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [=============================>----------] 75.70% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [=============================>----------] 75.80% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [=============================>----------] 75.90% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [=============================>----------] 76.00% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [=============================>----------] 76.10% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [=============================>----------] 76.20% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [=============================>----------] 76.30% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [=============================>----------] 76.40% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [=============================>----------] 76.50% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [=============================>----------] 76.60% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [=============================>----------] 76.70% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [=============================>----------] 76.80% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [=============================>----------] 76.90% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [=============================>----------] 77.00% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [=============================>----------] 77.10% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [=============================>----------] 77.20% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [=============================>----------] 77.30% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [=============================>----------] 77.40% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [==============================>---------] 77.50% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [==============================>---------] 77.60% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [==============================>---------] 77.70% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [==============================>---------] 77.80% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [==============================>---------] 77.90% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [==============================>---------] 78.00% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [==============================>---------] 78.10% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [==============================>---------] 78.20% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [==============================>---------] 78.30% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [==============================>---------] 78.40% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [==============================>---------] 78.50% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [==============================>---------] 78.60% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [==============================>---------] 78.70% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [==============================>---------] 78.80% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [==============================>---------] 78.90% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [==============================>---------] 79.00% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [==============================>---------] 79.10% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [==============================>---------] 79.20% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [==============================>---------] 79.30% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [==============================>---------] 79.40% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [==============================>---------] 79.50% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [==============================>---------] 79.60% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [==============================>---------] 79.70% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [==============================>---------] 79.80% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [==============================>---------] 79.90% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [===============================>--------] 80.00% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [===============================>--------] 80.10% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [===============================>--------] 80.20% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [===============================>--------] 80.30% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [===============================>--------] 80.40% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [===============================>--------] 80.50% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [===============================>--------] 80.60% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [===============================>--------] 80.70% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [===============================>--------] 80.80% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [===============================>--------] 80.90% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [===============================>--------] 81.00% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [===============================>--------] 81.10% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [===============================>--------] 81.20% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [===============================>--------] 81.30% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [===============================>--------] 81.40% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [===============================>--------] 81.50% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [===============================>--------] 81.60% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [===============================>--------] 81.70% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [===============================>--------] 81.80% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [===============================>--------] 81.90% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [===============================>--------] 82.00% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [===============================>--------] 82.10% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [===============================>--------] 82.20% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [===============================>--------] 82.30% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [===============================>--------] 82.40% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [================================>-------] 82.50% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [================================>-------] 82.60% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [================================>-------] 82.70% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [================================>-------] 82.80% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [================================>-------] 82.90% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [================================>-------] 83.00% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [================================>-------] 83.10% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [================================>-------] 83.20% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [================================>-------] 83.30% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [================================>-------] 83.40% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [================================>-------] 83.50% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [================================>-------] 83.60% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [================================>-------] 83.70% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [================================>-------] 83.80% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [================================>-------] 83.90% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [================================>-------] 84.00% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [================================>-------] 84.10% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [================================>-------] 84.20% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [================================>-------] 84.30% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [================================>-------] 84.40% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [================================>-------] 84.50% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [================================>-------] 84.60% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [================================>-------] 84.70% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [================================>-------] 84.80% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [================================>-------] 84.90% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [=================================>------] 85.00% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [=================================>------] 85.10% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [=================================>------] 85.20% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [=================================>------] 85.30% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [=================================>------] 85.40% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [=================================>------] 85.50% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [=================================>------] 85.60% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [=================================>------] 85.70% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [=================================>------] 85.80% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [=================================>------] 85.90% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [=================================>------] 86.00% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [=================================>------] 86.10% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [=================================>------] 86.20% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [=================================>------] 86.30% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [=================================>------] 86.40% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [=================================>------] 86.50% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [=================================>------] 86.60% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [=================================>------] 86.70% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [=================================>------] 86.80% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [=================================>------] 86.90% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [=================================>------] 87.00% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [=================================>------] 87.10% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [=================================>------] 87.20% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [=================================>------] 87.30% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [=================================>------] 87.40% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [==================================>-----] 87.50% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [==================================>-----] 87.60% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [==================================>-----] 87.70% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [==================================>-----] 87.80% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [==================================>-----] 87.90% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [==================================>-----] 88.00% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [==================================>-----] 88.10% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [==================================>-----] 88.20% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [==================================>-----] 88.30% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [==================================>-----] 88.40% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [==================================>-----] 88.50% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [==================================>-----] 88.60% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [==================================>-----] 88.70% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [==================================>-----] 88.80% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [==================================>-----] 88.90% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [==================================>-----] 89.00% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [==================================>-----] 89.10% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [==================================>-----] 89.20% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [==================================>-----] 89.30% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [==================================>-----] 89.40% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [==================================>-----] 89.50% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [==================================>-----] 89.60% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [==================================>-----] 89.70% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [==================================>-----] 89.80% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [==================================>-----] 89.90% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [===================================>----] 90.00% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [===================================>----] 90.10% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [===================================>----] 90.20% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [===================================>----] 90.30% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [===================================>----] 90.40% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [===================================>----] 90.50% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [===================================>----] 90.60% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [===================================>----] 90.70% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [===================================>----] 90.80% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [===================================>----] 90.90% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [===================================>----] 91.00% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [===================================>----] 91.10% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [===================================>----] 91.20% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [===================================>----] 91.30% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [===================================>----] 91.40% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [===================================>----] 91.50% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [===================================>----] 91.60% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [===================================>----] 91.70% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [===================================>----] 91.80% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [===================================>----] 91.90% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [===================================>----] 92.00% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [===================================>----] 92.10% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [===================================>----] 92.20% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [===================================>----] 92.30% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [===================================>----] 92.40% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [====================================>---] 92.50% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [====================================>---] 92.60% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [====================================>---] 92.70% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [====================================>---] 92.80% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [====================================>---] 92.90% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [====================================>---] 93.00% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [====================================>---] 93.10% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [====================================>---] 93.20% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [====================================>---] 93.30% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [====================================>---] 93.40% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [====================================>---] 93.50% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [====================================>---] 93.60% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [====================================>---] 93.70% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [====================================>---] 93.80% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [====================================>---] 93.90% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [====================================>---] 94.00% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [====================================>---] 94.10% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [====================================>---] 94.20% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [====================================>---] 94.30% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [====================================>---] 94.40% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [====================================>---] 94.50% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [====================================>---] 94.60% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [====================================>---] 94.70% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [====================================>---] 94.80% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [====================================>---] 94.90% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [=====================================>--] 95.00% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [=====================================>--] 95.10% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [=====================================>--] 95.20% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [=====================================>--] 95.30% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [=====================================>--] 95.40% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [=====================================>--] 95.50% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [=====================================>--] 95.60% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [=====================================>--] 95.70% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [=====================================>--] 95.80% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [=====================================>--] 95.90% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [=====================================>--] 96.00% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [=====================================>--] 96.10% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [=====================================>--] 96.20% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [=====================================>--] 96.30% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [=====================================>--] 96.40% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [=====================================>--] 96.50% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [=====================================>--] 96.60% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [=====================================>--] 96.70% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [=====================================>--] 96.80% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [=====================================>--] 96.90% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [=====================================>--] 97.00% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [=====================================>--] 97.10% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [=====================================>--] 97.20% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [=====================================>--] 97.30% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [=====================================>--] 97.40% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [======================================>-] 97.50% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [======================================>-] 97.60% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [======================================>-] 97.70% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [======================================>-] 97.80% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [======================================>-] 97.90% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [======================================>-] 98.00% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [======================================>-] 98.10% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [======================================>-] 98.20% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [======================================>-] 98.30% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [======================================>-] 98.40% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [======================================>-] 98.50% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [======================================>-] 98.60% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [======================================>-] 98.70% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [======================================>-] 98.80% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [======================================>-] 98.90% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [======================================>-] 99.00% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [======================================>-] 99.10% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [======================================>-] 99.20% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [======================================>-] 99.30% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [======================================>-] 99.40% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [======================================>-] 99.50% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [======================================>-] 99.60% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [======================================>-] 99.70% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [======================================>-] 99.80% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
  [======================================>-] 99.90% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-
                                                                                                   
-
-
-
  [=======================================>] 100.0% | train_error: -0.0000000010 | train_acc: 1.00 
-
-
-

Not bad, but the results depend strongly on the learning reate. Try different learning rates.

@@ -18593,14 +10825,6 @@ images.

-
-
inputs = (n_inputs, pixel_width, pixel_height) = (1797, 8, 8)
-labels = (n_inputs) = (1797,)
-X = (n_inputs, n_features) = (1797, 64)
-
-
-_images/week43_72_1.png -
@@ -18644,12 +10868,6 @@ collected from 12.00 to 24.00.

-
-
Number of training images: 1437
-Number of test images: 360
-
-
-
@@ -18822,23 +11040,6 @@ This is then passed through the activation:

-
-
probabilities = (n_inputs, n_categories) = (1437, 10)
-probability that image 0 is in category 0,1,2,...,9 = 
-[5.41511965e-04 2.17174962e-03 8.84355903e-03 1.44970586e-03
- 1.10378326e-04 5.08318298e-09 2.03256632e-04 1.92507116e-03
- 9.84443254e-01 3.11507992e-04]
-probabilities sum up to: 1.0
-
-
-
predictions = (n_inputs) = (1437,)
-
-
-
prediction for image 0: 8
-correct label for image 0: 6
-
-
-
@@ -19007,41 +11208,6 @@ the Hadamard product, meaning element-wise multiplication.

-
-
Old accuracy on training data: 0.1440501043841336
-
-
-
---------------------------------------------------------------------------
-RuntimeWarning                            Traceback (most recent call last)
-Input In [26], in <cell line: 54>()
-     53 lmbd = 0.01
-     54 for i in range(1000):
-     55     # calculate gradients
----> 56     dWo, dBo, dWh, dBh = backpropagation(X_train, Y_train_onehot)
-     58     # regularization term gradients
-     59     dWo += lmbd * output_weights
-
-Input In [26], in backpropagation(X, Y)
-     32 def backpropagation(X, Y):
----> 33     a_h, probabilities = feed_forward_train(X)
-     35     # error in the output layer
-     36     error_output = probabilities - Y
-
-Input In [26], in feed_forward_train(X)
-     18 z_h = np.matmul(X, hidden_weights) + hidden_bias
-     19 # activation in the hidden layer
----> 20 a_h = sigmoid(z_h)
-     22 # weighted sum of inputs to the output layer
-     23 z_o = np.matmul(a_h, output_weights) + output_bias
-
-Input In [25], in sigmoid(x)
-      3 def sigmoid(x):
-----> 4     return 1/(1 + np.exp(-x))
-
-RuntimeWarning: overflow encountered in exp
-
-
-
diff --git a/doc/LectureNotes/_build/jupyter_execute/week43.ipynb b/doc/LectureNotes/_build/jupyter_execute/week43.ipynb index 385bb5b42..708272f23 100644 --- a/doc/LectureNotes/_build/jupyter_execute/week43.ipynb +++ b/doc/LectureNotes/_build/jupyter_execute/week43.ipynb @@ -2,7 +2,7 @@ "cells": [ { "cell_type": "markdown", - "id": "88f6e253", + "id": "082f351e", "metadata": { "editable": true }, @@ -14,7 +14,7 @@ }, { "cell_type": "markdown", - "id": "ebd16d73", + "id": "a99ac46a", "metadata": { "editable": true }, @@ -22,14 +22,14 @@ "# Week 43: Deep Learning: Constructing a Neural Network code and solving differential equations\n", "**Morten Hjorth-Jensen**, Department of Physics, University of Oslo and Department of Physics and Astronomy and Facility for Rare Isotope Beams, Michigan State University\n", "\n", - "Date: **Oct 25, 2023**\n", + "Date: **Oct 26, 2023**\n", "\n", "Copyright 1999-2023, Morten Hjorth-Jensen. Released under CC Attribution-NonCommercial 4.0 license" ] }, { "cell_type": "markdown", - "id": "e9bc94b9", + "id": "a65014fa", "metadata": { "editable": true }, @@ -44,6 +44,8 @@ "\n", " * Discussion of project 2\n", "\n", + " * [Video of lab session](https://youtu.be/Ia6wwDLxqtM)\n", + "\n", " \n", "\n", "**Material for the lecture on Thursday October 26, 2023.**\n", @@ -73,7 +75,7 @@ }, { "cell_type": "markdown", - "id": "457d4421", + "id": "491f86f0", "metadata": { "editable": true }, @@ -87,7 +89,7 @@ }, { "cell_type": "markdown", - "id": "e86537af", + "id": "9878a552", "metadata": { "editable": true }, @@ -104,7 +106,7 @@ }, { "cell_type": "markdown", - "id": "14ffcfd0", + "id": "acd9eaf4", "metadata": { "editable": true }, @@ -114,7 +116,7 @@ }, { "cell_type": "markdown", - "id": "5773ab41", + "id": "ac6985dd", "metadata": { "editable": true }, @@ -151,7 +153,7 @@ }, { "cell_type": "markdown", - "id": "fdcb6f1e", + "id": "c75ca508", "metadata": { "editable": true }, @@ -189,7 +191,7 @@ }, { "cell_type": "markdown", - "id": "7bc3e18a", + "id": "6b4c09b9", "metadata": { "editable": true }, @@ -201,7 +203,7 @@ }, { "cell_type": "markdown", - "id": "b82f5167", + "id": "fe419b85", "metadata": { "editable": true }, @@ -216,7 +218,7 @@ }, { "cell_type": "markdown", - "id": "1ff6327f", + "id": "79ddb224", "metadata": { "editable": true }, @@ -246,7 +248,7 @@ }, { "cell_type": "markdown", - "id": "fd88cb2a", + "id": "5b9b5e41", "metadata": { "editable": true }, @@ -258,7 +260,7 @@ }, { "cell_type": "markdown", - "id": "277ccf21", + "id": "c319cc25", "metadata": { "editable": true }, @@ -271,7 +273,7 @@ }, { "cell_type": "markdown", - "id": "69024cd6", + "id": "edf4b6c5", "metadata": { "editable": true }, @@ -281,7 +283,7 @@ }, { "cell_type": "markdown", - "id": "3739f7f4", + "id": "521c408b", "metadata": { "editable": true }, @@ -296,7 +298,7 @@ }, { "cell_type": "markdown", - "id": "891fbfbd", + "id": "22aa491a", "metadata": { "editable": true }, @@ -306,7 +308,7 @@ }, { "cell_type": "markdown", - "id": "0befa9f2", + "id": "f0ae234a", "metadata": { "editable": true }, @@ -319,7 +321,7 @@ }, { "cell_type": "markdown", - "id": "8b87520f", + "id": "5c980f5b", "metadata": { "editable": true }, @@ -329,7 +331,7 @@ }, { "cell_type": "markdown", - "id": "0c36a6e9", + "id": "82fb504e", "metadata": { "editable": true }, @@ -344,7 +346,7 @@ }, { "cell_type": "markdown", - "id": "6a5ebf2f", + "id": "cfd54537", "metadata": { "editable": true }, @@ -354,7 +356,7 @@ }, { "cell_type": "markdown", - "id": "5c2cce0f", + "id": "2f823c42", "metadata": { "editable": true }, @@ -369,7 +371,7 @@ }, { "cell_type": "markdown", - "id": "6700bff0", + "id": "7cad12ae", "metadata": { "editable": true }, @@ -379,7 +381,7 @@ }, { "cell_type": "markdown", - "id": "c9deb439", + "id": "0e9795a8", "metadata": { "editable": true }, @@ -392,7 +394,7 @@ }, { "cell_type": "markdown", - "id": "bca3d76a", + "id": "4ee23a12", "metadata": { "editable": true }, @@ -402,7 +404,7 @@ }, { "cell_type": "markdown", - "id": "0fd2b2d0", + "id": "1c156334", "metadata": { "editable": true }, @@ -418,7 +420,7 @@ }, { "cell_type": "markdown", - "id": "aef5937c", + "id": "24433060", "metadata": { "editable": true }, @@ -428,7 +430,7 @@ }, { "cell_type": "markdown", - "id": "784de267", + "id": "e2664fe2", "metadata": { "editable": true }, @@ -441,7 +443,7 @@ { "cell_type": "code", "execution_count": 1, - "id": "1529f64e", + "id": "4966b41e", "metadata": { "collapsed": false, "editable": true @@ -522,7 +524,7 @@ }, { "cell_type": "markdown", - "id": "6c344985", + "id": "2d227b7a", "metadata": { "editable": true }, @@ -532,7 +534,7 @@ }, { "cell_type": "markdown", - "id": "dda91d6e", + "id": "4a614a2f", "metadata": { "editable": true }, @@ -543,7 +545,7 @@ { "cell_type": "code", "execution_count": 2, - "id": "dc12224d", + "id": "a2401c4c", "metadata": { "collapsed": false, "editable": true @@ -604,13 +606,7 @@ "Learning rate = 0.0001\n", "Lambda = 1.0\n", "Accuracy score on data set: 0.5\n", - "\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ + "\n", "Learning rate = 0.0001\n", "Lambda = 10.0\n", "Accuracy score on data set: 0.5\n", @@ -792,7 +788,7 @@ }, "metadata": { "filenames": { - "image/png": "/Users/mhjensen/Teaching/MachineLearning/doc/LectureNotes/_build/jupyter_execute/week43_30_3.png" + "image/png": "/Users/mhjensen/Teaching/MachineLearning/doc/LectureNotes/_build/jupyter_execute/week43_30_2.png" } }, "output_type": "display_data" @@ -857,7 +853,7 @@ }, { "cell_type": "markdown", - "id": "7c9b27ed", + "id": "2b0654f9", "metadata": { "editable": true }, @@ -876,7 +872,7 @@ }, { "cell_type": "markdown", - "id": "e8e28114", + "id": "36d7ed90", "metadata": { "editable": true }, @@ -898,7 +894,7 @@ { "cell_type": "code", "execution_count": 3, - "id": "37a2ec80", + "id": "f3149e44", "metadata": { "collapsed": false, "editable": true @@ -1039,7 +1035,7 @@ }, { "cell_type": "markdown", - "id": "38ea41a5", + "id": "3b714e5a", "metadata": { "editable": true }, @@ -1055,7 +1051,7 @@ { "cell_type": "code", "execution_count": 4, - "id": "869cf239", + "id": "a187e1f4", "metadata": { "collapsed": false, "editable": true @@ -1068,7 +1064,7 @@ }, { "cell_type": "markdown", - "id": "b9b25144", + "id": "14693dc1", "metadata": { "editable": true }, @@ -1080,7 +1076,7 @@ { "cell_type": "code", "execution_count": 5, - "id": "7d2dc23b", + "id": "6f791e05", "metadata": { "collapsed": false, "editable": true @@ -1118,7 +1114,7 @@ }, { "cell_type": "markdown", - "id": "83b5e35f", + "id": "02dca912", "metadata": { "editable": true }, @@ -1134,7 +1130,7 @@ { "cell_type": "code", "execution_count": 6, - "id": "4c217329", + "id": "8e150ca8", "metadata": { "collapsed": false, "editable": true @@ -1172,7 +1168,7 @@ }, { "cell_type": "markdown", - "id": "a0515ac9", + "id": "a2ba6469", "metadata": { "editable": true }, @@ -1185,7 +1181,7 @@ { "cell_type": "code", "execution_count": 7, - "id": "5eb41a10", + "id": "2fd8a7d1", "metadata": { "collapsed": false, "editable": true @@ -1217,7 +1213,7 @@ }, { "cell_type": "markdown", - "id": "0535d6fd", + "id": "811b2be7", "metadata": { "editable": true }, @@ -1233,7 +1229,7 @@ { "cell_type": "code", "execution_count": 8, - "id": "c55d6d5f", + "id": "12fb8899", "metadata": { "collapsed": false, "editable": true @@ -1291,7 +1287,7 @@ }, { "cell_type": "markdown", - "id": "b820a2a1", + "id": "9cd08f7a", "metadata": { "editable": true }, @@ -1306,7 +1302,7 @@ { "cell_type": "code", "execution_count": 9, - "id": "43974d31", + "id": "3b609fd5", "metadata": { "collapsed": false, "editable": true @@ -1348,7 +1344,7 @@ }, { "cell_type": "markdown", - "id": "ec754834", + "id": "7b55fa66", "metadata": { "editable": true }, @@ -1372,7 +1368,7 @@ { "cell_type": "code", "execution_count": 10, - "id": "505e52ab", + "id": "c0f9ff63", "metadata": { "collapsed": false, "editable": true @@ -1844,7 +1840,7 @@ }, { "cell_type": "markdown", - "id": "00aa7046", + "id": "e406c59d", "metadata": { "editable": true }, @@ -1856,7 +1852,7 @@ { "cell_type": "code", "execution_count": 11, - "id": "b0b45dd4", + "id": "0c6d743d", "metadata": { "collapsed": false, "editable": true @@ -1900,7 +1896,7 @@ }, { "cell_type": "markdown", - "id": "cf9645c3", + "id": "150ef783", "metadata": { "editable": true }, @@ -1916,7 +1912,7 @@ { "cell_type": "code", "execution_count": 12, - "id": "a792c324", + "id": "585ea4aa", "metadata": { "collapsed": false, "editable": true @@ -1931,7 +1927,7 @@ }, { "cell_type": "markdown", - "id": "e11ed70e", + "id": "169932be", "metadata": { "editable": true }, @@ -1942,7 +1938,7 @@ { "cell_type": "code", "execution_count": 13, - "id": "dfd03f3c", + "id": "7559a5a7", "metadata": { "collapsed": false, "editable": true @@ -2775,7 +2771,7 @@ }, { "cell_type": "markdown", - "id": "99b1bd91", + "id": "ee912b2a", "metadata": { "editable": true }, @@ -2791,7 +2787,7 @@ { "cell_type": "code", "execution_count": 14, - "id": "864038bb", + "id": "b576d527", "metadata": { "collapsed": false, "editable": true @@ -10823,7 +10819,7 @@ }, { "cell_type": "markdown", - "id": "24d5f3cc", + "id": "e98b0dd4", "metadata": { "editable": true }, @@ -10838,7 +10834,7 @@ { "cell_type": "code", "execution_count": 15, - "id": "14df9a52", + "id": "2508ac64", "metadata": { "collapsed": false, "editable": true @@ -10864,7 +10860,7 @@ { "cell_type": "code", "execution_count": 16, - "id": "adb3edf2", + "id": "3b12683c", "metadata": { "collapsed": false, "editable": true @@ -10879,7 +10875,7 @@ }, { "cell_type": "markdown", - "id": "fa885022", + "id": "e79ca9e9", "metadata": { "editable": true }, @@ -10890,7 +10886,7 @@ { "cell_type": "code", "execution_count": 17, - "id": "1b862f90", + "id": "2238df76", "metadata": { "collapsed": false, "editable": true @@ -10900,7 +10896,20 @@ "name": "stdout", "output_type": "stream", "text": [ - "Adam: Eta=0.001, Lambda=0\n", + "Adam: Eta=0.001, Lambda=0" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "\r", " [----------------------------------------] 0.000% | train_error: 12.9 | train_acc: 0.376 | val_error: 12.6 | val_acc: 0.392 " ] @@ -18923,7 +18932,7 @@ }, { "cell_type": "markdown", - "id": "e86e60dc", + "id": "f698a332", "metadata": { "editable": true }, @@ -18934,7 +18943,7 @@ { "cell_type": "code", "execution_count": 18, - "id": "9e578191", + "id": "467be649", "metadata": { "collapsed": false, "editable": true @@ -18954,7 +18963,7 @@ { "cell_type": "code", "execution_count": 19, - "id": "bbfc34f4", + "id": "65fb9800", "metadata": { "collapsed": false, "editable": true @@ -22280,4691 +22289,14 @@ ] }, { - "name": "stdout", - "output_type": "stream", - "text": [ - "\r", - " [===============>------------------------] 41.40% | train_error: 0.292 | train_acc: 0.986 | val_error: 2.46 | val_acc: 0.881 " - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\r", - " [===============>------------------------] 41.50% | train_error: 0.292 | train_acc: 0.986 | val_error: 2.32 | val_acc: 0.888 " - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\r", - " [===============>------------------------] 41.60% | train_error: 0.292 | train_acc: 0.986 | val_error: 2.46 | val_acc: 0.881 " - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\r", - " [===============>------------------------] 41.70% | train_error: 0.292 | train_acc: 0.986 | val_error: 2.32 | val_acc: 0.888 " - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\r", - " [===============>------------------------] 41.80% | train_error: 0.292 | train_acc: 0.986 | val_error: 2.46 | val_acc: 0.881 " - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\r", - " [===============>------------------------] 41.90% | train_error: 0.292 | train_acc: 0.986 | val_error: 2.17 | val_acc: 0.895 " - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\r", - " [===============>------------------------] 42.00% | train_error: 0.292 | train_acc: 0.986 | val_error: 2.46 | val_acc: 0.881 " - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\r", - " [===============>------------------------] 42.10% | train_error: 0.292 | train_acc: 0.986 | val_error: 2.17 | val_acc: 0.895 " - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\r", - " [===============>------------------------] 42.20% | train_error: 0.292 | train_acc: 0.986 | val_error: 2.32 | val_acc: 0.888 " - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\r", - " [===============>------------------------] 42.30% | train_error: 0.292 | train_acc: 0.986 | val_error: 2.32 | val_acc: 0.888 " - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\r", - " [===============>------------------------] 42.40% | train_error: 0.292 | train_acc: 0.986 | val_error: 2.32 | val_acc: 0.888 " - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\r", - " [================>-----------------------] 42.50% | train_error: 0.292 | train_acc: 0.986 | val_error: 2.32 | val_acc: 0.888 " - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\r", - " [================>-----------------------] 42.60% | train_error: 0.292 | train_acc: 0.986 | val_error: 2.32 | val_acc: 0.888 " - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\r", - " [================>-----------------------] 42.70% | train_error: 0.292 | train_acc: 0.986 | val_error: 2.32 | val_acc: 0.888 " - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\r", - " [================>-----------------------] 42.80% | train_error: 0.292 | train_acc: 0.986 | val_error: 2.32 | val_acc: 0.888 " - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\r", - " [================>-----------------------] 42.90% | train_error: 0.292 | train_acc: 0.986 | val_error: 2.32 | val_acc: 0.888 " - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\r", - " [================>-----------------------] 43.00% | train_error: 0.292 | train_acc: 0.986 | val_error: 2.46 | val_acc: 0.881 " - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\r", - " [================>-----------------------] 43.10% | train_error: 0.292 | train_acc: 0.986 | val_error: 2.32 | val_acc: 0.888 " - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\r", - " [================>-----------------------] 43.20% | train_error: 0.292 | train_acc: 0.986 | val_error: 2.46 | val_acc: 0.881 " - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\r", - " [================>-----------------------] 43.30% | train_error: 0.292 | train_acc: 0.986 | val_error: 2.32 | val_acc: 0.888 " - ] - }, - { - "name": 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train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 " - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\r", - " [======================================>-] 99.90% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 " + "Exception ignored in: \n", + "Traceback (most recent call last):\n", + " File \"/Users/mhjensen/miniforge3/envs/myenv/lib/python3.9/site-packages/zmq/sugar/socket.py\", line 112, in __del__\n", + " warn(\n", + "ResourceWarning: unclosed socket \n" ] }, { @@ -26972,7 +22304,7 @@ "output_type": "stream", "text": [ "\r", - " " + " " ] }, { @@ -26980,7 +22312,7 @@ "output_type": "stream", "text": [ "\r", - " [=======================================>] 100.0% | train_error: 0.0973 | train_acc: 0.995 | val_error: 1.74 | val_acc: 0.916 " + " [=======================================>] 100.0% " ] } ], @@ -26993,7 +22325,7 @@ }, { "cell_type": "markdown", - "id": "2ac7ad43", + "id": "93cdd2a4", "metadata": { "editable": true }, @@ 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train_error: 0.179 | train_acc: 0.983 " - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\r", - " [======================================>-] 97.90% | train_error: 0.190 | train_acc: 0.982 " - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\r", - " [======================================>-] 98.00% | train_error: 0.186 | train_acc: 0.982 " - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\r", - " [======================================>-] 98.10% | train_error: 0.185 | train_acc: 0.982 " - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\r", - " [======================================>-] 98.20% | train_error: 0.182 | train_acc: 0.982 " - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\r", - " [======================================>-] 98.30% | train_error: 0.182 | train_acc: 0.982 " - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\r", - " [======================================>-] 98.40% | train_error: 0.171 | train_acc: 0.984 " - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\r", - " [======================================>-] 98.50% | train_error: 0.178 | train_acc: 0.983 " - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\r", - " [======================================>-] 98.60% | train_error: 0.170 | train_acc: 0.984 " - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\r", - " [======================================>-] 98.70% | train_error: 0.181 | train_acc: 0.983 " - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\r", - " [======================================>-] 98.80% | train_error: 0.166 | train_acc: 0.984 " - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\r", - " [======================================>-] 98.90% | train_error: 0.175 | train_acc: 0.983 " - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\r", - " [======================================>-] 99.00% | train_error: 0.173 | train_acc: 0.983 " - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\r", - " [======================================>-] 99.10% | train_error: 0.173 | train_acc: 0.983 " - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\r", - " [======================================>-] 99.20% | train_error: 0.171 | train_acc: 0.984 " - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\r", - " [======================================>-] 99.30% | train_error: 0.168 | train_acc: 0.984 " - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\r", - " [======================================>-] 99.40% | train_error: 0.167 | train_acc: 0.984 " - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\r", - " [======================================>-] 99.50% | train_error: 0.174 | train_acc: 0.983 " - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\r", - " [======================================>-] 99.60% | train_error: 0.158 | train_acc: 0.985 " - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\r", - " [======================================>-] 99.70% | train_error: 0.173 | train_acc: 0.983 " - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\r", - " [======================================>-] 99.80% | train_error: 0.164 | train_acc: 0.984 " - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\r", - " [======================================>-] 99.90% | train_error: 0.175 | train_acc: 0.983 " - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\r", - " " - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\r", - " [=======================================>] 100.0% | train_error: 0.175 | train_acc: 0.983 " - ] - } - ], + "outputs": [], "source": [ "from sklearn.datasets import load_digits\n", "\n", @@ -35069,7 +22377,7 @@ }, { "cell_type": "markdown", - "id": "0fcf8bf2", + "id": "00f7684a", "metadata": { "editable": true }, @@ -35082,8030 +22390,12 @@ { "cell_type": "code", "execution_count": 21, - "id": "d91608cf", + "id": "8bec151f", "metadata": { "collapsed": false, "editable": true }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Adam: Eta=0.1, Lambda=0\n", - "\r", - " [----------------------------------------] 0.000% | train_error: 10.4 | train_acc: 0.500 " - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\r", - " [----------------------------------------] 0.1000% | train_error: 10.4 | train_acc: 0.500 " - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\r", - " [----------------------------------------] 0.2000% | train_error: 10.4 | train_acc: 0.500 " - ] - }, - { - "name": "stdout", - 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train_acc: 1.00 " - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\r", - " [=====================================>--] 95.50% | train_error: -0.0000000010 | train_acc: 1.00 " - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\r", - " [=====================================>--] 95.60% | train_error: -0.0000000010 | train_acc: 1.00 " - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\r", - " [=====================================>--] 95.70% | train_error: -0.0000000010 | train_acc: 1.00 " - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\r", - " [=====================================>--] 95.80% | train_error: -0.0000000010 | train_acc: 1.00 " - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\r", - " [=====================================>--] 95.90% | train_error: -0.0000000010 | train_acc: 1.00 " - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\r", - " [=====================================>--] 96.00% | train_error: -0.0000000010 | train_acc: 1.00 " - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\r", - " [=====================================>--] 96.10% | train_error: -0.0000000010 | train_acc: 1.00 " - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\r", - " [=====================================>--] 96.20% | train_error: -0.0000000010 | train_acc: 1.00 " - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\r", - " [=====================================>--] 96.30% | train_error: -0.0000000010 | train_acc: 1.00 " - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\r", - " [=====================================>--] 96.40% | train_error: -0.0000000010 | train_acc: 1.00 " - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\r", - " [=====================================>--] 96.50% | train_error: -0.0000000010 | train_acc: 1.00 " - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\r", - " [=====================================>--] 96.60% | train_error: -0.0000000010 | train_acc: 1.00 " - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\r", - " [=====================================>--] 96.70% | train_error: -0.0000000010 | train_acc: 1.00 " - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\r", - " [=====================================>--] 96.80% | train_error: -0.0000000010 | train_acc: 1.00 " - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\r", - " [=====================================>--] 96.90% | train_error: -0.0000000010 | train_acc: 1.00 " - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\r", - " [=====================================>--] 97.00% | train_error: -0.0000000010 | train_acc: 1.00 " - ] - }, - { - "name": "stdout", - 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[======================================>-] 97.60% | train_error: -0.0000000010 | train_acc: 1.00 " - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\r", - " [======================================>-] 97.70% | train_error: -0.0000000010 | train_acc: 1.00 " - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\r", - " [======================================>-] 97.80% | train_error: -0.0000000010 | train_acc: 1.00 " - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\r", - " [======================================>-] 97.90% | train_error: -0.0000000010 | train_acc: 1.00 " - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\r", - " [======================================>-] 98.00% | train_error: -0.0000000010 | train_acc: 1.00 " - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\r", - " [======================================>-] 98.10% | train_error: -0.0000000010 | train_acc: 1.00 " - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\r", - " [======================================>-] 98.20% | train_error: -0.0000000010 | train_acc: 1.00 " - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\r", - " [======================================>-] 98.30% | train_error: -0.0000000010 | train_acc: 1.00 " - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\r", - " [======================================>-] 98.40% | train_error: -0.0000000010 | train_acc: 1.00 " - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\r", - " [======================================>-] 98.50% | train_error: -0.0000000010 | train_acc: 1.00 " - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\r", - " [======================================>-] 98.60% | train_error: -0.0000000010 | train_acc: 1.00 " - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\r", - " [======================================>-] 98.70% | train_error: -0.0000000010 | train_acc: 1.00 " - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\r", - " [======================================>-] 98.80% | train_error: -0.0000000010 | train_acc: 1.00 " - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\r", - " [======================================>-] 98.90% | train_error: -0.0000000010 | train_acc: 1.00 " - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\r", - " [======================================>-] 99.00% | train_error: -0.0000000010 | train_acc: 1.00 " - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\r", - " [======================================>-] 99.10% | train_error: -0.0000000010 | train_acc: 1.00 " - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\r", - " [======================================>-] 99.20% | train_error: -0.0000000010 | train_acc: 1.00 " - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\r", - " [======================================>-] 99.30% | train_error: -0.0000000010 | train_acc: 1.00 " - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\r", - " [======================================>-] 99.40% | train_error: -0.0000000010 | train_acc: 1.00 " - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\r", - " [======================================>-] 99.50% | train_error: -0.0000000010 | train_acc: 1.00 " - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\r", - " [======================================>-] 99.60% | train_error: -0.0000000010 | train_acc: 1.00 " - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\r", - " [======================================>-] 99.70% | train_error: -0.0000000010 | train_acc: 1.00 " - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\r", - " [======================================>-] 99.80% | train_error: -0.0000000010 | train_acc: 1.00 " - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\r", - " [======================================>-] 99.90% | train_error: -0.0000000010 | train_acc: 1.00 " - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\r", - " " - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\r", - " [=======================================>] 100.0% | train_error: -0.0000000010 | train_acc: 1.00 " - ] - } - ], + "outputs": [], "source": [ "X = np.array([ [0, 0], [0, 1], [1, 0],[1, 1]],dtype=np.float64)\n", "\n", @@ -43123,7 +22413,7 @@ }, { "cell_type": "markdown", - "id": "494009be", + "id": "c32f02fd", "metadata": { "editable": true }, @@ -43133,7 +22423,7 @@ }, { "cell_type": "markdown", - "id": "db70a4fe", + "id": "3434c341", "metadata": { "editable": true }, @@ -43143,7 +22433,7 @@ }, { "cell_type": "markdown", - "id": "e5fc9732", + "id": "aea3ed79", "metadata": { "editable": true }, @@ -43172,7 +22462,7 @@ }, { "cell_type": "markdown", - "id": "1f986c86", + "id": "9aa79782", "metadata": { "editable": true }, @@ -43222,36 +22512,12 @@ { "cell_type": "code", "execution_count": 22, - "id": "0f845fb5", + "id": "cade684e", "metadata": { "collapsed": false, "editable": true }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "inputs = (n_inputs, pixel_width, pixel_height) = (1797, 8, 8)\n", - "labels = (n_inputs) = (1797,)\n", - "X = (n_inputs, n_features) = (1797, 64)\n" - ] - }, - { - "data": { - "image/png": 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" - ] - }, - "metadata": { - "filenames": { - "image/png": "/Users/mhjensen/Teaching/MachineLearning/doc/LectureNotes/_build/jupyter_execute/week43_72_1.png" - } - }, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "# import necessary packages\n", "import numpy as np\n", @@ -43299,7 +22565,7 @@ }, { "cell_type": "markdown", - "id": "fbab1656", + "id": "380d9d9d", "metadata": { "editable": true }, @@ -43320,21 +22586,12 @@ { "cell_type": "code", "execution_count": 23, - "id": "3ecd3028", + "id": "73cf1180", "metadata": { "collapsed": false, "editable": true }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Number of training images: 1437\n", - "Number of test images: 360\n" - ] - } - ], + "outputs": [], "source": [ "from sklearn.model_selection import train_test_split\n", "\n", @@ -43367,7 +22624,7 @@ }, { "cell_type": "markdown", - "id": "b45412df", + "id": "8a01257a", "metadata": { "editable": true }, @@ -43411,7 +22668,7 @@ }, { "cell_type": "markdown", - "id": "e90b1e65", + "id": "54e95850", "metadata": { "editable": true }, @@ -43451,7 +22708,7 @@ }, { "cell_type": "markdown", - "id": "92bff738", + "id": "62c1a1b0", "metadata": { "editable": true }, @@ -43472,7 +22729,7 @@ { "cell_type": "code", "execution_count": 24, - "id": "8eb225e4", + "id": "aa587add", "metadata": { "collapsed": false, "editable": true @@ -43498,7 +22755,7 @@ }, { "cell_type": "markdown", - "id": "da1e7ad6", + "id": "d4249afa", "metadata": { "editable": true }, @@ -43526,7 +22783,7 @@ }, { "cell_type": "markdown", - "id": "52ea3780", + "id": "b699e117", "metadata": { "editable": true }, @@ -43563,42 +22820,12 @@ { "cell_type": "code", "execution_count": 25, - "id": "8ec12507", + "id": "8a4dec51", "metadata": { "collapsed": false, "editable": true }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "probabilities = (n_inputs, n_categories) = (1437, 10)\n", - "probability that image 0 is in category 0,1,2,...,9 = \n", - "[5.41511965e-04 2.17174962e-03 8.84355903e-03 1.44970586e-03\n", - " 1.10378326e-04 5.08318298e-09 2.03256632e-04 1.92507116e-03\n", - " 9.84443254e-01 3.11507992e-04]\n", - "probabilities sum up to: 1.0\n", - "\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "predictions = (n_inputs) = (1437,)" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\n", - "prediction for image 0: 8\n", - "correct label for image 0: 6\n" - ] - } - ], + "outputs": [], "source": [ "# setup the feed-forward pass, subscript h = hidden layer\n", "\n", @@ -43639,7 +22866,7 @@ }, { "cell_type": "markdown", - "id": "518a6c33", + "id": "c2fbafa2", "metadata": { "editable": true }, @@ -43670,7 +22897,7 @@ }, { "cell_type": "markdown", - "id": "9e4fe561", + "id": "297dd16a", "metadata": { "editable": true }, @@ -43708,7 +22935,7 @@ }, { "cell_type": "markdown", - "id": "331db754", + "id": "9a4bdbd5", "metadata": { "editable": true }, @@ -43742,7 +22969,7 @@ }, { "cell_type": "markdown", - "id": "94f8797f", + "id": "aa585f10", "metadata": { "editable": true }, @@ -43783,34 +23010,12 @@ { "cell_type": "code", "execution_count": 26, - "id": "6cc0ad5a", + "id": "21ec5e9c", "metadata": { "collapsed": false, "editable": true }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Old accuracy on training data: 0.1440501043841336\n" - ] - }, - { - "ename": "RuntimeWarning", - "evalue": "overflow encountered in exp", - "output_type": "error", - "traceback": [ - "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[0;31mRuntimeWarning\u001b[0m Traceback (most recent call last)", - "Input \u001b[0;32mIn [26]\u001b[0m, in \u001b[0;36m\u001b[0;34m()\u001b[0m\n\u001b[1;32m 53\u001b[0m lmbd \u001b[38;5;241m=\u001b[39m \u001b[38;5;241m0.01\u001b[39m\n\u001b[1;32m 54\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m i \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mrange\u001b[39m(\u001b[38;5;241m1000\u001b[39m):\n\u001b[1;32m 55\u001b[0m \u001b[38;5;66;03m# calculate gradients\u001b[39;00m\n\u001b[0;32m---> 56\u001b[0m dWo, dBo, dWh, dBh \u001b[38;5;241m=\u001b[39m \u001b[43mbackpropagation\u001b[49m\u001b[43m(\u001b[49m\u001b[43mX_train\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mY_train_onehot\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 58\u001b[0m \u001b[38;5;66;03m# regularization term gradients\u001b[39;00m\n\u001b[1;32m 59\u001b[0m dWo \u001b[38;5;241m+\u001b[39m\u001b[38;5;241m=\u001b[39m lmbd \u001b[38;5;241m*\u001b[39m output_weights\n", - "Input \u001b[0;32mIn [26]\u001b[0m, in \u001b[0;36mbackpropagation\u001b[0;34m(X, Y)\u001b[0m\n\u001b[1;32m 32\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mbackpropagation\u001b[39m(X, Y):\n\u001b[0;32m---> 33\u001b[0m a_h, probabilities \u001b[38;5;241m=\u001b[39m \u001b[43mfeed_forward_train\u001b[49m\u001b[43m(\u001b[49m\u001b[43mX\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 35\u001b[0m \u001b[38;5;66;03m# error in the output layer\u001b[39;00m\n\u001b[1;32m 36\u001b[0m error_output \u001b[38;5;241m=\u001b[39m probabilities \u001b[38;5;241m-\u001b[39m Y\n", - "Input \u001b[0;32mIn [26]\u001b[0m, in \u001b[0;36mfeed_forward_train\u001b[0;34m(X)\u001b[0m\n\u001b[1;32m 18\u001b[0m z_h \u001b[38;5;241m=\u001b[39m np\u001b[38;5;241m.\u001b[39mmatmul(X, hidden_weights) \u001b[38;5;241m+\u001b[39m hidden_bias\n\u001b[1;32m 19\u001b[0m \u001b[38;5;66;03m# activation in the hidden layer\u001b[39;00m\n\u001b[0;32m---> 20\u001b[0m a_h \u001b[38;5;241m=\u001b[39m \u001b[43msigmoid\u001b[49m\u001b[43m(\u001b[49m\u001b[43mz_h\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 22\u001b[0m \u001b[38;5;66;03m# weighted sum of inputs to the output layer\u001b[39;00m\n\u001b[1;32m 23\u001b[0m z_o \u001b[38;5;241m=\u001b[39m np\u001b[38;5;241m.\u001b[39mmatmul(a_h, output_weights) \u001b[38;5;241m+\u001b[39m output_bias\n", - "Input \u001b[0;32mIn [25]\u001b[0m, in \u001b[0;36msigmoid\u001b[0;34m(x)\u001b[0m\n\u001b[1;32m 3\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21msigmoid\u001b[39m(x):\n\u001b[0;32m----> 4\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;241m1\u001b[39m\u001b[38;5;241m/\u001b[39m(\u001b[38;5;241m1\u001b[39m \u001b[38;5;241m+\u001b[39m \u001b[43mnp\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mexp\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m-\u001b[39;49m\u001b[43mx\u001b[49m\u001b[43m)\u001b[49m)\n", - "\u001b[0;31mRuntimeWarning\u001b[0m: overflow encountered in exp" - ] - } - ], + "outputs": [], "source": [ "# to categorical turns our integer vector into a onehot representation\n", "from sklearn.metrics import accuracy_score\n", @@ -43884,7 +23089,7 @@ }, { "cell_type": "markdown", - "id": "66341fe5", + "id": "fe383853", "metadata": { "editable": true }, @@ -43905,7 +23110,7 @@ }, { "cell_type": "markdown", - "id": "4654bdd2", + "id": "48afb81d", "metadata": { "editable": true }, @@ -43919,7 +23124,7 @@ { "cell_type": "code", "execution_count": 27, - "id": "84200c9e", + "id": "223c5ea5", "metadata": { "collapsed": false, "editable": true @@ -44029,7 +23234,7 @@ }, { "cell_type": "markdown", - "id": "2fade818", + "id": "8e4de167", "metadata": { "editable": true }, @@ -44048,7 +23253,7 @@ { "cell_type": "code", "execution_count": 28, - "id": "da2d74fa", + "id": "e299478f", "metadata": { "collapsed": false, "editable": true @@ -44075,7 +23280,7 @@ }, { "cell_type": "markdown", - "id": "45f911b8", + "id": "1c58f8b5", "metadata": { "editable": true }, @@ -44089,7 +23294,7 @@ { "cell_type": "code", "execution_count": 29, - "id": "b21a2c19", + "id": "e2e095b5", "metadata": { "collapsed": false, "editable": true @@ -44120,7 +23325,7 @@ }, { "cell_type": "markdown", - "id": "80801250", + "id": "9bcbed3e", "metadata": { "editable": true }, @@ -44131,7 +23336,7 @@ { "cell_type": "code", "execution_count": 30, - "id": "303e085a", + "id": "70cd9e5f", "metadata": { "collapsed": false, "editable": true @@ -44175,7 +23380,7 @@ }, { "cell_type": "markdown", - "id": "9358790a", + "id": "014fa73f", "metadata": { "editable": true }, @@ -44198,7 +23403,7 @@ { "cell_type": "code", "execution_count": 31, - "id": "a238def8", + "id": "f8e412f7", "metadata": { "collapsed": false, "editable": true @@ -44225,7 +23430,7 @@ }, { "cell_type": "markdown", - "id": "2ef943ac", + "id": "d05866a6", "metadata": { "editable": true }, @@ -44236,7 +23441,7 @@ { "cell_type": "code", "execution_count": 32, - "id": "afeabf8f", + "id": "1af34a20", "metadata": { "collapsed": false, "editable": true @@ -44281,7 +23486,7 @@ }, { "cell_type": "markdown", - "id": "3dd5dfb4", + "id": "372abcde", "metadata": { "editable": true }, @@ -44299,7 +23504,7 @@ }, { "cell_type": "markdown", - "id": "72754d13", + "id": "6b3fc4a5", "metadata": { "editable": true }, @@ -44334,7 +23539,7 @@ { "cell_type": "code", "execution_count": 33, - "id": "9fc42ba6", + "id": "5f88d47b", "metadata": { "collapsed": false, "editable": true @@ -44346,7 +23551,7 @@ }, { "cell_type": "markdown", - "id": "35795551", + "id": "fe89b2bd", "metadata": { "editable": true }, @@ -44358,7 +23563,7 @@ { "cell_type": "code", "execution_count": 34, - "id": "1dabca19", + "id": "51009ec1", "metadata": { "collapsed": false, "editable": true @@ -44371,7 +23576,7 @@ }, { "cell_type": "markdown", - "id": "be829505", + "id": "6b00853a", "metadata": { "editable": true }, @@ -44382,7 +23587,7 @@ { "cell_type": "code", "execution_count": 35, - "id": "7d92ce1c", + "id": "27d84846", "metadata": { "collapsed": false, "editable": true @@ -44395,7 +23600,7 @@ }, { "cell_type": "markdown", - "id": "057049d7", + "id": "efb95ce2", "metadata": { "editable": true }, @@ -44410,7 +23615,7 @@ { "cell_type": "code", "execution_count": 36, - "id": "0837641b", + "id": "ff0d76a6", "metadata": { "collapsed": false, "editable": true @@ -44422,7 +23627,7 @@ }, { "cell_type": "markdown", - "id": "19d5a72d", + "id": "16ceb812", "metadata": { "editable": true }, @@ -44434,7 +23639,7 @@ }, { "cell_type": "markdown", - "id": "4ae0b49b", + "id": "d1be0e7f", "metadata": { "editable": true }, @@ -44447,7 +23652,7 @@ { "cell_type": "code", "execution_count": 37, - "id": "429afe53", + "id": "3f300c00", "metadata": { "collapsed": false, "editable": true @@ -44502,7 +23707,7 @@ { "cell_type": "code", "execution_count": 38, - "id": "887c06b9", + "id": "fa0d45c3", "metadata": { "collapsed": false, "editable": true @@ -44531,7 +23736,7 @@ { "cell_type": "code", "execution_count": 39, - "id": "a4d8f64e", + "id": "8cdc8534", "metadata": { "collapsed": false, "editable": true @@ -44561,7 +23766,7 @@ { "cell_type": "code", "execution_count": 40, - "id": "b8fb8fa0", + "id": "2fbe350d", "metadata": { "collapsed": false, "editable": true @@ -44588,7 +23793,7 @@ { "cell_type": "code", "execution_count": 41, - "id": "7777faa8", + "id": "4eae49aa", "metadata": { "collapsed": false, "editable": true @@ -44630,7 +23835,7 @@ }, { "cell_type": "markdown", - "id": "bb6d1d3e", + "id": "43439e76", "metadata": { "editable": true }, @@ -44641,7 +23846,7 @@ { "cell_type": "code", "execution_count": 42, - "id": "d8c0caf4", + "id": "dabd1a04", "metadata": { "collapsed": false, "editable": true @@ -44818,7 +24023,7 @@ }, { "cell_type": "markdown", - "id": "2631b51d", + "id": "23e4f61b", "metadata": { "editable": true }, @@ -44846,7 +24051,7 @@ }, { "cell_type": "markdown", - "id": "357644b3", + "id": "c9bfa99f", "metadata": { "editable": true }, @@ -44869,7 +24074,7 @@ }, { "cell_type": "markdown", - "id": "06854c7f", + "id": "7c5e58d3", "metadata": { "editable": true }, @@ -44900,7 +24105,7 @@ }, { "cell_type": "markdown", - "id": "bb26a6da", + "id": "6b470b84", "metadata": { "editable": true }, @@ -44932,7 +24137,7 @@ }, { "cell_type": "markdown", - "id": "0277931e", + "id": "370e81e1", "metadata": { "editable": true }, @@ -44970,7 +24175,7 @@ }, { "cell_type": "markdown", - "id": "93a45265", + "id": "0bdbe74e", "metadata": { "editable": true }, @@ -44995,7 +24200,7 @@ }, { "cell_type": "markdown", - "id": "7feb8c33", + "id": "cfa436f9", "metadata": { "editable": true }, @@ -45007,7 +24212,7 @@ }, { "cell_type": "markdown", - "id": "1f55cf23", + "id": "1b53aede", "metadata": { "editable": true }, @@ -45030,7 +24235,7 @@ }, { "cell_type": "markdown", - "id": "7cea0ca3", + "id": "3d2e808b", "metadata": { "editable": true }, @@ -45050,7 +24255,7 @@ }, { "cell_type": "markdown", - "id": "086014d5", + "id": "19b958c3", "metadata": { "editable": true }, @@ -45072,7 +24277,7 @@ }, { "cell_type": "markdown", - "id": "9bc419af", + "id": "1f4fd499", "metadata": { "editable": true }, @@ -45090,7 +24295,7 @@ }, { "cell_type": "markdown", - "id": "a9198ed4", + "id": "99d0d4c8", "metadata": { "editable": true }, @@ -45109,7 +24314,7 @@ }, { "cell_type": "markdown", - "id": "75c023d8", + "id": "ee14cc3a", "metadata": { "editable": true }, @@ -45121,7 +24326,7 @@ }, { "cell_type": "markdown", - "id": "2d2e4666", + "id": "3f5a367a", "metadata": { "editable": true }, @@ -45166,7 +24371,7 @@ }, { "cell_type": "markdown", - "id": "23dc45c2", + "id": "687050b9", "metadata": { "editable": true }, @@ -45196,7 +24401,7 @@ }, { "cell_type": "markdown", - "id": "8d80aba5", + "id": "0ccb8f74", "metadata": { "editable": true }, @@ -45223,7 +24428,7 @@ }, { "cell_type": "markdown", - "id": "b8d6cf49", + "id": "97d510ab", "metadata": { "editable": true }, @@ -45237,7 +24442,7 @@ }, { "cell_type": "markdown", - "id": "ba566ae5", + "id": "fe825851", "metadata": { "editable": true }, @@ -45254,7 +24459,7 @@ }, { "cell_type": "markdown", - "id": "fddca9d2", + "id": "780538d0", "metadata": { "editable": true }, @@ -45270,7 +24475,7 @@ }, { "cell_type": "markdown", - "id": "11ed9eb7", + "id": "f373c843", "metadata": { "editable": true }, @@ -45282,7 +24487,7 @@ }, { "cell_type": "markdown", - "id": "ab228680", + "id": "72db62ef", "metadata": { "editable": true }, @@ -45300,7 +24505,7 @@ }, { "cell_type": "markdown", - "id": "a620d020", + "id": "9f423f32", "metadata": { "editable": true }, @@ -45321,7 +24526,7 @@ }, { "cell_type": "markdown", - "id": "4de72e77", + "id": "54daf83b", "metadata": { "editable": true }, @@ -45338,7 +24543,7 @@ }, { "cell_type": "markdown", - "id": "60ef63bb", + "id": "30a7ebea", "metadata": { "editable": true }, @@ -45350,7 +24555,7 @@ }, { "cell_type": "markdown", - "id": "6c719d5b", + "id": "a3c57c9f", "metadata": { "editable": true }, @@ -45361,7 +24566,7 @@ }, { "cell_type": "markdown", - "id": "3a6248cc", + "id": "f5f5d8ac", "metadata": { "editable": true }, @@ -45378,7 +24583,7 @@ }, { "cell_type": "markdown", - "id": "937fbb4d", + "id": "1ce283c1", "metadata": { "editable": true }, @@ -45389,7 +24594,7 @@ }, { "cell_type": "markdown", - "id": "985098ad", + "id": "cd9ff0af", "metadata": { "editable": true }, @@ -45405,7 +24610,7 @@ }, { "cell_type": "markdown", - "id": "7a2ade22", + "id": "28c63a03", "metadata": { "editable": true }, @@ -45417,7 +24622,7 @@ }, { "cell_type": "markdown", - "id": "4b50fe09", + "id": "4269d121", "metadata": { "editable": true }, @@ -45434,7 +24639,7 @@ }, { "cell_type": "markdown", - "id": "310ac762", + "id": "6b0e72c3", "metadata": { "editable": true }, @@ -45446,7 +24651,7 @@ }, { "cell_type": "markdown", - "id": "8ce2620f", + "id": "2295a2d8", "metadata": { "editable": true }, @@ -45464,7 +24669,7 @@ }, { "cell_type": "markdown", - "id": "78459d15", + "id": "e5e41afe", "metadata": { "editable": true }, @@ -45474,7 +24679,7 @@ }, { "cell_type": "markdown", - "id": "d40f94e2", + "id": "2150df23", "metadata": { "editable": true }, @@ -45486,7 +24691,7 @@ }, { "cell_type": "markdown", - "id": "c5f2c97d", + "id": "0903b255", "metadata": { "editable": true }, @@ -45503,7 +24708,7 @@ }, { "cell_type": "markdown", - "id": "bb30f7cc", + "id": "fe2da1fe", "metadata": { "editable": true }, @@ -45515,7 +24720,7 @@ }, { "cell_type": "markdown", - "id": "a5d8512c", + "id": "75fea33a", "metadata": { "editable": true }, @@ -45526,7 +24731,7 @@ }, { "cell_type": "markdown", - "id": "1c888249", + "id": "297320fa", "metadata": { "editable": true }, @@ -45538,7 +24743,7 @@ }, { "cell_type": "markdown", - "id": "477dada7", + "id": "7905db70", "metadata": { "editable": true }, @@ -45548,7 +24753,7 @@ }, { "cell_type": "markdown", - "id": "8e5e2b68", + "id": "7dbc7af5", "metadata": { "editable": true }, @@ -45568,7 +24773,7 @@ }, { "cell_type": "markdown", - "id": "84150e8d", + "id": "52a2f0e5", "metadata": { "editable": true }, @@ -45585,7 +24790,7 @@ }, { "cell_type": "markdown", - "id": "3f25aabb", + "id": "fc2672cb", "metadata": { "editable": true }, @@ -45604,7 +24809,7 @@ }, { "cell_type": "markdown", - "id": "ce6c0a98", + "id": "273c2869", "metadata": { "editable": true }, @@ -45616,7 +24821,7 @@ }, { "cell_type": "markdown", - "id": "17805209", + "id": "8fae3b2f", "metadata": { "editable": true }, @@ -45626,7 +24831,7 @@ }, { "cell_type": "markdown", - "id": "f9984101", + "id": "dc98cc83", "metadata": { "editable": true }, @@ -45643,7 +24848,7 @@ }, { "cell_type": "markdown", - "id": "4abcf7b3", + "id": "dbd04093", "metadata": { "editable": true }, @@ -45653,7 +24858,7 @@ }, { "cell_type": "markdown", - "id": "3a4b99d7", + "id": "4fed45e1", "metadata": { "editable": true }, @@ -45669,7 +24874,7 @@ }, { "cell_type": "markdown", - "id": "261d5f57", + "id": "5708fcb2", "metadata": { "editable": true }, @@ -45681,7 +24886,7 @@ }, { "cell_type": "markdown", - "id": "0c7e0ed7", + "id": "7997d84c", "metadata": { "editable": true }, @@ -45693,7 +24898,7 @@ }, { "cell_type": "markdown", - "id": "410091f0", + "id": "78213356", "metadata": { "editable": true }, @@ -45705,7 +24910,7 @@ }, { "cell_type": "markdown", - "id": "17f0e1e7", + "id": "27349563", "metadata": { "editable": true }, @@ -45715,7 +24920,7 @@ }, { "cell_type": "markdown", - "id": "acac4ddf", + "id": "2b61bb07", "metadata": { "editable": true }, @@ -45727,7 +24932,7 @@ }, { "cell_type": "markdown", - "id": "0b3bdcec", + "id": "5fe5b8e2", "metadata": { "editable": true }, @@ -45744,7 +24949,7 @@ }, { "cell_type": "markdown", - "id": "8b71f89e", + "id": "2de1c60a", "metadata": { "editable": true }, @@ -45754,7 +24959,7 @@ }, { "cell_type": "markdown", - "id": "b1a4b8b2", + "id": "b65d6687", "metadata": { "editable": true }, @@ -45766,7 +24971,7 @@ }, { "cell_type": "markdown", - "id": "bb3f35b1", + "id": "ca8a5a81", "metadata": { "editable": true }, @@ -45780,7 +24985,7 @@ }, { "cell_type": "markdown", - "id": "bb8eac7a", + "id": "b8614294", "metadata": { "editable": true }, @@ -45796,7 +25001,7 @@ }, { "cell_type": "markdown", - "id": "23361eba", + "id": "76363167", "metadata": { "editable": true }, @@ -45808,7 +25013,7 @@ }, { "cell_type": "markdown", - "id": "94bf3ada", + "id": "802de3e1", "metadata": { "editable": true }, @@ -45830,7 +25035,7 @@ }, { "cell_type": "markdown", - "id": "ff0afe4b", + "id": "de92874a", "metadata": { "editable": true }, @@ -45842,7 +25047,7 @@ }, { "cell_type": "markdown", - "id": "393ee959", + "id": "b5209d15", "metadata": { "editable": true }, @@ -45865,7 +25070,7 @@ }, { "cell_type": "markdown", - "id": "f2df5cfc", + "id": "ad9f3dfb", "metadata": { "editable": true }, @@ -45881,7 +25086,7 @@ }, { "cell_type": "markdown", - "id": "f6358bb7", + "id": "ecf5c2d9", "metadata": { "editable": true }, @@ -45893,7 +25098,7 @@ }, { "cell_type": "markdown", - "id": "ef56bb84", + "id": "525fe8e7", "metadata": { "editable": true }, @@ -45917,7 +25122,7 @@ }, { "cell_type": "markdown", - "id": "acd41944", + "id": "6938f171", "metadata": { "editable": true }, @@ -45929,7 +25134,7 @@ }, { "cell_type": "markdown", - "id": "1a2a7e92", + "id": "592ce735", "metadata": { "editable": true }, @@ -45950,7 +25155,7 @@ }, { "cell_type": "markdown", - "id": "a082637c", + "id": "4e757d4b", "metadata": { "editable": true }, @@ -45962,7 +25167,7 @@ }, { "cell_type": "markdown", - "id": "dfc24dff", + "id": "b949460f", "metadata": { "editable": true }, @@ -45981,7 +25186,7 @@ }, { "cell_type": "markdown", - "id": "90f81e55", + "id": "7dbdf166", "metadata": { "editable": true }, @@ -45991,7 +25196,7 @@ }, { "cell_type": "markdown", - "id": "3693fc3b", + "id": "64247852", "metadata": { "editable": true }, @@ -46005,7 +25210,7 @@ }, { "cell_type": "markdown", - "id": "2bb540dd", + "id": "5b12d0ef", "metadata": { "editable": true }, @@ -46017,7 +25222,7 @@ }, { "cell_type": "markdown", - "id": "5fad7cc5", + "id": "22b5cd55", "metadata": { "editable": true }, @@ -46029,7 +25234,7 @@ }, { "cell_type": "markdown", - "id": "c9a47e0a", + "id": "1adf129e", "metadata": { "editable": true }, @@ -46046,7 +25251,7 @@ }, { "cell_type": "markdown", - "id": "f579f1d0", + "id": "380767da", "metadata": { "editable": true }, @@ -46058,7 +25263,7 @@ }, { "cell_type": "markdown", - "id": "f980cb6a", + "id": "c8f1251c", "metadata": { "editable": true }, @@ -46080,7 +25285,7 @@ }, { "cell_type": "markdown", - "id": "de47a73d", + "id": "3d864d42", "metadata": { "editable": true }, @@ -46095,7 +25300,7 @@ }, { "cell_type": "markdown", - "id": "5eacb34e", + "id": "53e11ad4", "metadata": { "editable": true }, @@ -46106,7 +25311,7 @@ { "cell_type": "code", "execution_count": 43, - "id": "77235f88", + "id": "87126ea3", "metadata": { "collapsed": false, "editable": true @@ -46261,7 +25466,7 @@ }, { "cell_type": "markdown", - "id": "0147790d", + "id": "85cdbffb", "metadata": { "editable": true }, @@ -46276,7 +25481,7 @@ { "cell_type": "code", "execution_count": 44, - "id": "59eb96af", + "id": "ea147bd8", "metadata": { "collapsed": false, "editable": true @@ -46445,7 +25650,7 @@ }, { "cell_type": "markdown", - "id": "dc02c291", + "id": "a9c208db", "metadata": { "editable": true }, @@ -46458,7 +25663,7 @@ }, { "cell_type": "markdown", - "id": "c8fff51e", + "id": "5c9d7463", "metadata": { "editable": true }, @@ -46475,7 +25680,7 @@ }, { "cell_type": "markdown", - "id": "3751edf7", + "id": "959a791d", "metadata": { "editable": true }, @@ -46491,7 +25696,7 @@ }, { "cell_type": "markdown", - "id": "a502c731", + "id": "4d9192ef", "metadata": { "editable": true }, @@ -46504,7 +25709,7 @@ }, { "cell_type": "markdown", - "id": "eb73f07e", + "id": "cd3254e9", "metadata": { "editable": true }, @@ -46521,7 +25726,7 @@ }, { "cell_type": "markdown", - "id": "9ab9d930", + "id": "13dfafca", "metadata": { "editable": true }, @@ -46533,7 +25738,7 @@ }, { "cell_type": "markdown", - "id": "9cb8689a", + "id": "98e4108f", "metadata": { "editable": true }, @@ -46560,7 +25765,7 @@ }, { "cell_type": "markdown", - "id": "d21e3a14", + "id": "6ef89c8b", "metadata": { "editable": true }, @@ -46573,7 +25778,7 @@ { "cell_type": "code", "execution_count": 45, - "id": "833da16b", + "id": "5cb44c16", "metadata": { "collapsed": false, "editable": true @@ -46747,7 +25952,7 @@ }, { "cell_type": "markdown", - "id": "0fdcf8c5", + "id": "3357aac9", "metadata": { "editable": true }, @@ -46767,7 +25972,7 @@ }, { "cell_type": "markdown", - "id": "0a057338", + "id": "8766414a", "metadata": { "editable": true }, @@ -46782,7 +25987,7 @@ }, { "cell_type": "markdown", - "id": "6721bcf2", + "id": "e5ba08c5", "metadata": { "editable": true }, @@ -46796,7 +26001,7 @@ }, { "cell_type": "markdown", - "id": "dc3db9fd", + "id": "0ab225a5", "metadata": { "editable": true }, @@ -46812,7 +26017,7 @@ }, { "cell_type": "markdown", - "id": "9af3fd6a", + "id": "5449a58e", "metadata": { "editable": true }, @@ -46822,7 +26027,7 @@ }, { "cell_type": "markdown", - "id": "4c2da445", + "id": "a8b2c62b", "metadata": { "editable": true }, @@ -46844,7 +26049,7 @@ }, { "cell_type": "markdown", - "id": "93b58380", + "id": "e96c80e9", "metadata": { "editable": true }, @@ -46858,7 +26063,7 @@ { "cell_type": "code", "execution_count": 46, - "id": "cb73915d", + "id": "72270271", "metadata": { "collapsed": false, "editable": true @@ -46934,7 +26139,7 @@ }, { "cell_type": "markdown", - "id": "c9d250c7", + "id": "e91781d3", "metadata": { "editable": true }, @@ -46946,7 +26151,7 @@ }, { "cell_type": "markdown", - "id": "0d67bc8c", + "id": "f004baeb", "metadata": { "editable": true }, @@ -46963,7 +26168,7 @@ }, { "cell_type": "markdown", - "id": "fe4ee5a8", + "id": "4005279b", "metadata": { "editable": true }, @@ -46975,7 +26180,7 @@ }, { "cell_type": "markdown", - "id": "62b400ca", + "id": "41750a28", "metadata": { "editable": true }, @@ -46990,7 +26195,7 @@ }, { "cell_type": "markdown", - "id": "7d4723f2", + "id": "7ac869b8", "metadata": { "editable": true }, @@ -47002,7 +26207,7 @@ }, { "cell_type": "markdown", - "id": "97889b0e", + "id": "3f838e66", "metadata": { "editable": true }, @@ -47014,7 +26219,7 @@ }, { "cell_type": "markdown", - "id": "236028bc", + "id": "981f744e", "metadata": { "editable": true }, @@ -47026,7 +26231,7 @@ }, { "cell_type": "markdown", - "id": "a4334818", + "id": "73504342", "metadata": { "editable": true }, @@ -47036,7 +26241,7 @@ }, { "cell_type": "markdown", - "id": "8330dd77", + "id": "65918eb3", "metadata": { "editable": true }, @@ -47053,7 +26258,7 @@ }, { "cell_type": "markdown", - "id": "78522018", + "id": "e1f3e150", "metadata": { "editable": true }, @@ -47065,7 +26270,7 @@ }, { "cell_type": "markdown", - "id": "943956e4", + "id": "b4d54816", "metadata": { "editable": true }, @@ -47077,7 +26282,7 @@ }, { "cell_type": "markdown", - "id": "3c7b57e2", + "id": "761ba010", "metadata": { "editable": true }, @@ -47087,7 +26292,7 @@ }, { "cell_type": "markdown", - "id": "55173c99", + "id": "de0a4270", "metadata": { "editable": true }, @@ -47099,7 +26304,7 @@ }, { "cell_type": "markdown", - "id": "a6d078e4", + "id": "b3df6b28", "metadata": { "editable": true }, @@ -47110,7 +26315,7 @@ { "cell_type": "code", "execution_count": 47, - "id": "452c599c", + "id": "0ea196b5", "metadata": { "collapsed": false, "editable": true @@ -47271,7 +26476,7 @@ }, { "cell_type": "markdown", - "id": "8ca2348f", + "id": "9229281a", "metadata": { "editable": true }, @@ -47293,7 +26498,7 @@ }, { "cell_type": "markdown", - "id": "0ccc174e", + "id": "c07a6324", "metadata": { "editable": true }, @@ -47310,7 +26515,7 @@ }, { "cell_type": "markdown", - "id": "d4601257", + "id": "28c6e156", "metadata": { "editable": true }, @@ -47320,7 +26525,7 @@ }, { "cell_type": "markdown", - "id": "9ec01889", + "id": "c8cb001c", "metadata": { "editable": true }, @@ -47335,7 +26540,7 @@ }, { "cell_type": "markdown", - "id": "71993d6c", + "id": "2ea0c3eb", "metadata": { "editable": true }, @@ -47345,7 +26550,7 @@ }, { "cell_type": "markdown", - "id": "f6acfae4", + "id": "91bd65f6", "metadata": { "editable": true }, @@ -47360,7 +26565,7 @@ }, { "cell_type": "markdown", - "id": "6540422f", + "id": "8196883f", "metadata": { "editable": true }, @@ -47371,7 +26576,7 @@ }, { "cell_type": "markdown", - "id": "fd8c2326", + "id": "a3dbac1d", "metadata": { "editable": true }, @@ -47391,7 +26596,7 @@ }, { "cell_type": "markdown", - "id": "74eabad7", + "id": "fa4b53ba", "metadata": { "editable": true }, @@ -47403,7 +26608,7 @@ }, { "cell_type": "markdown", - "id": "f9d16e2f", + "id": "ae62439e", "metadata": { "editable": true }, @@ -47440,7 +26645,7 @@ }, { "cell_type": "markdown", - "id": "68c24098", + "id": "3ab45a2b", "metadata": { "editable": true }, @@ -47450,7 +26655,7 @@ }, { "cell_type": "markdown", - "id": "02c1e06d", + "id": "64114f21", "metadata": { "editable": true }, @@ -47463,7 +26668,7 @@ { "cell_type": "code", "execution_count": 48, - "id": "972b8e94", + "id": "16f3ae01", "metadata": { "collapsed": false, "editable": true @@ -47664,7 +26869,7 @@ }, { "cell_type": "markdown", - "id": "734d97bc", + "id": "496273dc", "metadata": { "editable": true }, @@ -47681,7 +26886,7 @@ }, { "cell_type": "markdown", - "id": "2c2d0e2c", + "id": "c5fafc34", "metadata": { "editable": true }, @@ -47698,7 +26903,7 @@ }, { "cell_type": "markdown", - "id": "9de00307", + "id": "9da50613", "metadata": { "editable": true }, @@ -47708,7 +26913,7 @@ }, { "cell_type": "markdown", - "id": "cb659253", + "id": "7d878f57", "metadata": { "editable": true }, @@ -47723,7 +26928,7 @@ }, { "cell_type": "markdown", - "id": "909d23ae", + "id": "f733da79", "metadata": { "editable": true }, @@ -47737,7 +26942,7 @@ }, { "cell_type": "markdown", - "id": "e3607f9e", + "id": "75200533", "metadata": { "editable": true }, @@ -47750,7 +26955,7 @@ }, { "cell_type": "markdown", - "id": "e0254d92", + "id": "9eca0d3c", "metadata": { "editable": true }, @@ -47770,7 +26975,7 @@ }, { "cell_type": "markdown", - "id": "7a787737", + "id": "6763a3ba", "metadata": { "editable": true }, @@ -47782,7 +26987,7 @@ }, { "cell_type": "markdown", - "id": "42cfda53", + "id": "7ad92188", "metadata": { "editable": true }, @@ -47794,7 +26999,7 @@ }, { "cell_type": "markdown", - "id": "41fdd74a", + "id": "74a848a9", "metadata": { "editable": true }, @@ -47806,7 +27011,7 @@ }, { "cell_type": "markdown", - "id": "9a43a5c3", + "id": "604cb0d2", "metadata": { "editable": true }, @@ -47816,7 +27021,7 @@ }, { "cell_type": "markdown", - "id": "2deb98de", + "id": "a375f71b", "metadata": { "editable": true }, @@ -47828,7 +27033,7 @@ }, { "cell_type": "markdown", - "id": "367f7d4b", + "id": "db03df01", "metadata": { "editable": true }, @@ -47840,7 +27045,7 @@ }, { "cell_type": "markdown", - "id": "4ace8d41", + "id": "ad1e5bb9", "metadata": { "editable": true }, @@ -47852,7 +27057,7 @@ }, { "cell_type": "markdown", - "id": "014d9b72", + "id": "3e5c1a4b", "metadata": { "editable": true }, @@ -47862,7 +27067,7 @@ }, { "cell_type": "markdown", - "id": "91cb0d4f", + "id": "907a6d4c", "metadata": { "editable": true }, @@ -47878,7 +27083,7 @@ }, { "cell_type": "markdown", - "id": "7015c1df", + "id": "20d93513", "metadata": { "editable": true }, @@ -47888,7 +27093,7 @@ }, { "cell_type": "markdown", - "id": "a170f9bf", + "id": "c7780ae9", "metadata": { "editable": true }, @@ -47900,7 +27105,7 @@ }, { "cell_type": "markdown", - "id": "f79c87b0", + "id": "ed12bd6d", "metadata": { "editable": true }, @@ -47917,7 +27122,7 @@ }, { "cell_type": "markdown", - "id": "7b00c2c7", + "id": "5be52dcf", "metadata": { "editable": true }, @@ -47927,7 +27132,7 @@ }, { "cell_type": "markdown", - "id": "1da2ec1f", + "id": "f759b8d1", "metadata": { "editable": true }, @@ -47943,7 +27148,7 @@ }, { "cell_type": "markdown", - "id": "d048b2b0", + "id": "014834ff", "metadata": { "editable": true }, @@ -47957,7 +27162,7 @@ }, { "cell_type": "markdown", - "id": "2a5423c6", + "id": "7bbb7493", "metadata": { "editable": true }, @@ -47976,7 +27181,7 @@ { "cell_type": "code", "execution_count": 49, - "id": "39978a3f", + "id": "4019a7dd", "metadata": { "collapsed": false, "editable": true @@ -48031,7 +27236,7 @@ }, { "cell_type": "markdown", - "id": "d86acd9a", + "id": "d5cd516b", "metadata": { "editable": true }, @@ -48061,7 +27266,7 @@ }, { "cell_type": "markdown", - "id": "219af542", + "id": "8affc5a2", "metadata": { "editable": true }, @@ -48090,7 +27295,7 @@ { "cell_type": "code", "execution_count": 50, - "id": "0300f83e", + "id": "6803b65e", "metadata": { "collapsed": false, "editable": true @@ -48137,7 +27342,7 @@ }, { "cell_type": "markdown", - "id": "63ff2d7d", + "id": "59db5670", "metadata": { "editable": true }, @@ -48163,7 +27368,7 @@ { "cell_type": "code", "execution_count": 51, - "id": "504a8a89", + "id": "eec1a5f5", "metadata": { "collapsed": false, "editable": true @@ -48397,7 +27602,7 @@ }, { "cell_type": "markdown", - "id": "2154560c", + "id": "256d8ad9", "metadata": { "editable": true }, @@ -48409,7 +27614,7 @@ }, { "cell_type": "markdown", - "id": "36990efc", + "id": "4772948f", "metadata": { "editable": true }, @@ -48421,7 +27626,7 @@ }, { "cell_type": "markdown", - "id": "d4e6e7d4", + "id": "323bc655", "metadata": { "editable": true }, @@ -48433,7 +27638,7 @@ }, { "cell_type": "markdown", - "id": "cca6cfed", + "id": "fbe75888", "metadata": { "editable": true }, @@ -48450,7 +27655,7 @@ }, { "cell_type": "markdown", - "id": "19f73071", + "id": "29fc55b0", "metadata": { "editable": true }, @@ -48460,7 +27665,7 @@ }, { "cell_type": "markdown", - "id": "3e637804", + "id": "5f9c311c", "metadata": { "editable": true }, @@ -48472,7 +27677,7 @@ }, { "cell_type": "markdown", - "id": "1a3ef69a", + "id": "583599b9", "metadata": { "editable": true }, @@ -48489,7 +27694,7 @@ }, { "cell_type": "markdown", - "id": "b9206a11", + "id": "3fe68796", "metadata": { "editable": true }, @@ -48500,7 +27705,7 @@ }, { "cell_type": "markdown", - "id": "3050dcc1", + "id": "858bcccf", "metadata": { "editable": true }, @@ -48520,7 +27725,7 @@ }, { "cell_type": "markdown", - "id": "2adca788", + "id": "9a46e1cb", "metadata": { "editable": true }, @@ -48530,7 +27735,7 @@ }, { "cell_type": "markdown", - "id": "9d36478f", + "id": "f0e68c83", "metadata": { "editable": true }, @@ -48556,7 +27761,7 @@ }, { "cell_type": "markdown", - "id": "f5a39291", + "id": "c80f96fe", "metadata": { "editable": true }, @@ -48572,7 +27777,7 @@ }, { "cell_type": "markdown", - "id": "2090b5b8", + "id": "a82fb339", "metadata": { "editable": true }, @@ -48583,7 +27788,7 @@ { "cell_type": "code", "execution_count": 52, - "id": "0598530e", + "id": "744f5688", "metadata": { "collapsed": false, "editable": true @@ -48814,7 +28019,7 @@ }, { "cell_type": "markdown", - "id": "518138c8", + "id": "b1e76cca", "metadata": { "editable": true }, diff --git a/doc/LectureNotes/_build/jupyter_execute/week43.py b/doc/LectureNotes/_build/jupyter_execute/week43.py index 6aec0a7bd..7d622d690 100644 --- a/doc/LectureNotes/_build/jupyter_execute/week43.py +++ b/doc/LectureNotes/_build/jupyter_execute/week43.py @@ -8,7 +8,7 @@ # # Week 43: Deep Learning: Constructing a Neural Network code and solving differential equations # **Morten Hjorth-Jensen**, Department of Physics, University of Oslo and Department of Physics and Astronomy and Facility for Rare Isotope Beams, Michigan State University # -# Date: **Oct 25, 2023** +# Date: **Oct 26, 2023** # # Copyright 1999-2023, Morten Hjorth-Jensen. Released under CC Attribution-NonCommercial 4.0 license @@ -22,6 +22,8 @@ # # * Discussion of project 2 # +# * [Video of lab session](https://youtu.be/Ia6wwDLxqtM) +# # # # **Material for the lecture on Thursday October 26, 2023.** diff --git a/doc/LectureNotes/week43.ipynb b/doc/LectureNotes/week43.ipynb index 4c84cfe33..4e2246cb2 100644 --- a/doc/LectureNotes/week43.ipynb +++ b/doc/LectureNotes/week43.ipynb @@ -2,7 +2,7 @@ "cells": [ { "cell_type": "markdown", - "id": "88f6e253", + "id": "082f351e", "metadata": { "editable": true }, @@ -14,7 +14,7 @@ }, { "cell_type": "markdown", - "id": "ebd16d73", + "id": "a99ac46a", "metadata": { "editable": true }, @@ -22,14 +22,14 @@ "# Week 43: Deep Learning: Constructing a Neural Network code and solving differential equations\n", "**Morten Hjorth-Jensen**, Department of Physics, University of Oslo and Department of Physics and Astronomy and Facility for Rare Isotope Beams, Michigan State University\n", "\n", - "Date: **Oct 25, 2023**\n", + "Date: **Oct 26, 2023**\n", "\n", "Copyright 1999-2023, Morten Hjorth-Jensen. Released under CC Attribution-NonCommercial 4.0 license" ] }, { "cell_type": "markdown", - "id": "e9bc94b9", + "id": "a65014fa", "metadata": { "editable": true }, @@ -44,6 +44,8 @@ "\n", " * Discussion of project 2\n", "\n", + " * [Video of lab session](https://youtu.be/Ia6wwDLxqtM)\n", + "\n", " \n", "\n", "**Material for the lecture on Thursday October 26, 2023.**\n", @@ -73,7 +75,7 @@ }, { "cell_type": "markdown", - "id": "457d4421", + "id": "491f86f0", "metadata": { "editable": true }, @@ -87,7 +89,7 @@ }, { "cell_type": "markdown", - "id": "e86537af", + "id": "9878a552", "metadata": { "editable": true }, @@ -104,7 +106,7 @@ }, { "cell_type": "markdown", - "id": "14ffcfd0", + "id": "acd9eaf4", "metadata": { "editable": true }, @@ -114,7 +116,7 @@ }, { "cell_type": "markdown", - "id": "5773ab41", + "id": "ac6985dd", "metadata": { "editable": true }, @@ -151,7 +153,7 @@ }, { "cell_type": "markdown", - "id": "fdcb6f1e", + "id": "c75ca508", "metadata": { "editable": true }, @@ -189,7 +191,7 @@ }, { "cell_type": "markdown", - "id": "7bc3e18a", + "id": "6b4c09b9", "metadata": { "editable": true }, @@ -201,7 +203,7 @@ }, { "cell_type": "markdown", - "id": "b82f5167", + "id": "fe419b85", "metadata": { "editable": true }, @@ -216,7 +218,7 @@ }, { "cell_type": "markdown", - "id": "1ff6327f", + "id": "79ddb224", "metadata": { "editable": true }, @@ -246,7 +248,7 @@ }, { "cell_type": "markdown", - "id": "fd88cb2a", + "id": "5b9b5e41", "metadata": { "editable": true }, @@ -258,7 +260,7 @@ }, { "cell_type": "markdown", - "id": "277ccf21", + "id": "c319cc25", "metadata": { "editable": true }, @@ -271,7 +273,7 @@ }, { "cell_type": "markdown", - "id": "69024cd6", + "id": "edf4b6c5", "metadata": { "editable": true }, @@ -281,7 +283,7 @@ }, { "cell_type": "markdown", - "id": "3739f7f4", + "id": "521c408b", "metadata": { "editable": true }, @@ -296,7 +298,7 @@ }, { "cell_type": "markdown", - "id": "891fbfbd", + "id": "22aa491a", "metadata": { "editable": true }, @@ -306,7 +308,7 @@ }, { "cell_type": "markdown", - "id": "0befa9f2", + "id": "f0ae234a", "metadata": { "editable": true }, @@ -319,7 +321,7 @@ }, { "cell_type": "markdown", - "id": "8b87520f", + "id": "5c980f5b", "metadata": { "editable": true }, @@ -329,7 +331,7 @@ }, { "cell_type": "markdown", - "id": "0c36a6e9", + "id": "82fb504e", "metadata": { "editable": true }, @@ -344,7 +346,7 @@ }, { "cell_type": "markdown", - "id": "6a5ebf2f", + "id": "cfd54537", "metadata": { "editable": true }, @@ -354,7 +356,7 @@ }, { "cell_type": "markdown", - "id": "5c2cce0f", + "id": "2f823c42", "metadata": { "editable": true }, @@ -369,7 +371,7 @@ }, { "cell_type": "markdown", - "id": "6700bff0", + "id": "7cad12ae", "metadata": { "editable": true }, @@ -379,7 +381,7 @@ }, { "cell_type": "markdown", - "id": "c9deb439", + "id": "0e9795a8", "metadata": { "editable": true }, @@ -392,7 +394,7 @@ }, { "cell_type": "markdown", - "id": "bca3d76a", + "id": "4ee23a12", "metadata": { "editable": true }, @@ -402,7 +404,7 @@ }, { "cell_type": "markdown", - "id": "0fd2b2d0", + "id": "1c156334", "metadata": { "editable": true }, @@ -418,7 +420,7 @@ }, { "cell_type": "markdown", - "id": "aef5937c", + "id": "24433060", "metadata": { "editable": true }, @@ -428,7 +430,7 @@ }, { "cell_type": "markdown", - "id": "784de267", + "id": "e2664fe2", "metadata": { "editable": true }, @@ -441,7 +443,7 @@ { "cell_type": "code", "execution_count": 1, - "id": "1529f64e", + "id": "4966b41e", "metadata": { "collapsed": false, "editable": true @@ -511,7 +513,7 @@ }, { "cell_type": "markdown", - "id": "6c344985", + "id": "2d227b7a", "metadata": { "editable": true }, @@ -521,7 +523,7 @@ }, { "cell_type": "markdown", - "id": "dda91d6e", + "id": "4a614a2f", "metadata": { "editable": true }, @@ -532,7 +534,7 @@ { "cell_type": "code", "execution_count": 2, - "id": "dc12224d", + "id": "a2401c4c", "metadata": { "collapsed": false, "editable": true @@ -597,7 +599,7 @@ }, { "cell_type": "markdown", - "id": "7c9b27ed", + "id": "2b0654f9", "metadata": { "editable": true }, @@ -616,7 +618,7 @@ }, { "cell_type": "markdown", - "id": "e8e28114", + "id": "36d7ed90", "metadata": { "editable": true }, @@ -638,7 +640,7 @@ { "cell_type": "code", "execution_count": 3, - "id": "37a2ec80", + "id": "f3149e44", "metadata": { "collapsed": false, "editable": true @@ -779,7 +781,7 @@ }, { "cell_type": "markdown", - "id": "38ea41a5", + "id": "3b714e5a", "metadata": { "editable": true }, @@ -795,7 +797,7 @@ { "cell_type": "code", "execution_count": 4, - "id": "869cf239", + "id": "a187e1f4", "metadata": { "collapsed": false, "editable": true @@ -808,7 +810,7 @@ }, { "cell_type": "markdown", - "id": "b9b25144", + "id": "14693dc1", "metadata": { "editable": true }, @@ -820,7 +822,7 @@ { "cell_type": "code", "execution_count": 5, - "id": "7d2dc23b", + "id": "6f791e05", "metadata": { "collapsed": false, "editable": true @@ -842,7 +844,7 @@ }, { "cell_type": "markdown", - "id": "83b5e35f", + "id": "02dca912", "metadata": { "editable": true }, @@ -858,7 +860,7 @@ { "cell_type": "code", "execution_count": 6, - "id": "4c217329", + "id": "8e150ca8", "metadata": { "collapsed": false, "editable": true @@ -896,7 +898,7 @@ }, { "cell_type": "markdown", - "id": "a0515ac9", + "id": "a2ba6469", "metadata": { "editable": true }, @@ -909,7 +911,7 @@ { "cell_type": "code", "execution_count": 7, - "id": "5eb41a10", + "id": "2fd8a7d1", "metadata": { "collapsed": false, "editable": true @@ -930,7 +932,7 @@ }, { "cell_type": "markdown", - "id": "0535d6fd", + "id": "811b2be7", "metadata": { "editable": true }, @@ -946,7 +948,7 @@ { "cell_type": "code", "execution_count": 8, - "id": "c55d6d5f", + "id": "12fb8899", "metadata": { "collapsed": false, "editable": true @@ -1004,7 +1006,7 @@ }, { "cell_type": "markdown", - "id": "b820a2a1", + "id": "9cd08f7a", "metadata": { "editable": true }, @@ -1019,7 +1021,7 @@ { "cell_type": "code", "execution_count": 9, - "id": "43974d31", + "id": "3b609fd5", "metadata": { "collapsed": false, "editable": true @@ -1040,7 +1042,7 @@ }, { "cell_type": "markdown", - "id": "ec754834", + "id": "7b55fa66", "metadata": { "editable": true }, @@ -1064,7 +1066,7 @@ { "cell_type": "code", "execution_count": 10, - "id": "505e52ab", + "id": "c0f9ff63", "metadata": { "collapsed": false, "editable": true @@ -1536,7 +1538,7 @@ }, { "cell_type": "markdown", - "id": "00aa7046", + "id": "e406c59d", "metadata": { "editable": true }, @@ -1548,7 +1550,7 @@ { "cell_type": "code", "execution_count": 11, - "id": "b0b45dd4", + "id": "0c6d743d", "metadata": { "collapsed": false, "editable": true @@ -1592,7 +1594,7 @@ }, { "cell_type": "markdown", - "id": "cf9645c3", + "id": "150ef783", "metadata": { "editable": true }, @@ -1608,7 +1610,7 @@ { "cell_type": "code", "execution_count": 12, - "id": "a792c324", + "id": "585ea4aa", "metadata": { "collapsed": false, "editable": true @@ -1623,7 +1625,7 @@ }, { "cell_type": "markdown", - "id": "e11ed70e", + "id": "169932be", "metadata": { "editable": true }, @@ -1634,7 +1636,7 @@ { "cell_type": "code", "execution_count": 13, - "id": "dfd03f3c", + "id": "7559a5a7", "metadata": { "collapsed": false, "editable": true @@ -1649,7 +1651,7 @@ }, { "cell_type": "markdown", - "id": "99b1bd91", + "id": "ee912b2a", "metadata": { "editable": true }, @@ -1665,7 +1667,7 @@ { "cell_type": "code", "execution_count": 14, - "id": "864038bb", + "id": "b576d527", "metadata": { "collapsed": false, "editable": true @@ -1679,7 +1681,7 @@ }, { "cell_type": "markdown", - "id": "24d5f3cc", + "id": "e98b0dd4", "metadata": { "editable": true }, @@ -1694,7 +1696,7 @@ { "cell_type": "code", "execution_count": 15, - "id": "14df9a52", + "id": "2508ac64", "metadata": { "collapsed": false, "editable": true @@ -1720,7 +1722,7 @@ { "cell_type": "code", "execution_count": 16, - "id": "adb3edf2", + "id": "3b12683c", "metadata": { "collapsed": false, "editable": true @@ -1735,7 +1737,7 @@ }, { "cell_type": "markdown", - "id": "fa885022", + "id": "e79ca9e9", "metadata": { "editable": true }, @@ -1746,7 +1748,7 @@ { "cell_type": "code", "execution_count": 17, - "id": "1b862f90", + "id": "2238df76", "metadata": { "collapsed": false, "editable": true @@ -1761,7 +1763,7 @@ }, { "cell_type": "markdown", - "id": "e86e60dc", + "id": "f698a332", "metadata": { "editable": true }, @@ -1772,7 +1774,7 @@ { "cell_type": "code", "execution_count": 18, - "id": "9e578191", + "id": "467be649", "metadata": { "collapsed": false, "editable": true @@ -1792,7 +1794,7 @@ { "cell_type": "code", "execution_count": 19, - "id": "bbfc34f4", + "id": "65fb9800", "metadata": { "collapsed": false, "editable": true @@ -1807,7 +1809,7 @@ }, { "cell_type": "markdown", - "id": "2ac7ad43", + "id": "93cdd2a4", "metadata": { "editable": true }, @@ -1822,7 +1824,7 @@ { "cell_type": "code", "execution_count": 20, - "id": "f4a821cd", + "id": "df4b428c", "metadata": { "collapsed": false, "editable": true @@ -1859,7 +1861,7 @@ }, { "cell_type": "markdown", - "id": "0fcf8bf2", + "id": "00f7684a", "metadata": { "editable": true }, @@ -1872,7 +1874,7 @@ { "cell_type": "code", "execution_count": 21, - "id": "d91608cf", + "id": "8bec151f", "metadata": { "collapsed": false, "editable": true @@ -1895,7 +1897,7 @@ }, { "cell_type": "markdown", - "id": "494009be", + "id": "c32f02fd", "metadata": { "editable": true }, @@ -1905,7 +1907,7 @@ }, { "cell_type": "markdown", - "id": "db70a4fe", + "id": "3434c341", "metadata": { "editable": true }, @@ -1915,7 +1917,7 @@ }, { "cell_type": "markdown", - "id": "e5fc9732", + "id": "aea3ed79", "metadata": { "editable": true }, @@ -1944,7 +1946,7 @@ }, { "cell_type": "markdown", - "id": "1f986c86", + "id": "9aa79782", "metadata": { "editable": true }, @@ -1994,7 +1996,7 @@ { "cell_type": "code", "execution_count": 22, - "id": "0f845fb5", + "id": "cade684e", "metadata": { "collapsed": false, "editable": true @@ -2047,7 +2049,7 @@ }, { "cell_type": "markdown", - "id": "fbab1656", + "id": "380d9d9d", "metadata": { "editable": true }, @@ -2068,7 +2070,7 @@ { "cell_type": "code", "execution_count": 23, - "id": "3ecd3028", + "id": "73cf1180", "metadata": { "collapsed": false, "editable": true @@ -2106,7 +2108,7 @@ }, { "cell_type": "markdown", - "id": "b45412df", + "id": "8a01257a", "metadata": { "editable": true }, @@ -2150,7 +2152,7 @@ }, { "cell_type": "markdown", - "id": "e90b1e65", + "id": "54e95850", "metadata": { "editable": true }, @@ -2190,7 +2192,7 @@ }, { "cell_type": "markdown", - "id": "92bff738", + "id": "62c1a1b0", "metadata": { "editable": true }, @@ -2211,7 +2213,7 @@ { "cell_type": "code", "execution_count": 24, - "id": "8eb225e4", + "id": "aa587add", "metadata": { "collapsed": false, "editable": true @@ -2237,7 +2239,7 @@ }, { "cell_type": "markdown", - "id": "da1e7ad6", + "id": "d4249afa", "metadata": { "editable": true }, @@ -2265,7 +2267,7 @@ }, { "cell_type": "markdown", - "id": "52ea3780", + "id": "b699e117", "metadata": { "editable": true }, @@ -2302,7 +2304,7 @@ { "cell_type": "code", "execution_count": 25, - "id": "8ec12507", + "id": "8a4dec51", "metadata": { "collapsed": false, "editable": true @@ -2348,7 +2350,7 @@ }, { "cell_type": "markdown", - "id": "518a6c33", + "id": "c2fbafa2", "metadata": { "editable": true }, @@ -2379,7 +2381,7 @@ }, { "cell_type": "markdown", - "id": "9e4fe561", + "id": "297dd16a", "metadata": { "editable": true }, @@ -2417,7 +2419,7 @@ }, { "cell_type": "markdown", - "id": "331db754", + "id": "9a4bdbd5", "metadata": { "editable": true }, @@ -2451,7 +2453,7 @@ }, { "cell_type": "markdown", - "id": "94f8797f", + "id": "aa585f10", "metadata": { "editable": true }, @@ -2492,7 +2494,7 @@ { "cell_type": "code", "execution_count": 26, - "id": "6cc0ad5a", + "id": "21ec5e9c", "metadata": { "collapsed": false, "editable": true @@ -2571,7 +2573,7 @@ }, { "cell_type": "markdown", - "id": "66341fe5", + "id": "fe383853", "metadata": { "editable": true }, @@ -2592,7 +2594,7 @@ }, { "cell_type": "markdown", - "id": "4654bdd2", + "id": "48afb81d", "metadata": { "editable": true }, @@ -2606,7 +2608,7 @@ { "cell_type": "code", "execution_count": 27, - "id": "84200c9e", + "id": "223c5ea5", "metadata": { "collapsed": false, "editable": true @@ -2716,7 +2718,7 @@ }, { "cell_type": "markdown", - "id": "2fade818", + "id": "8e4de167", "metadata": { "editable": true }, @@ -2735,7 +2737,7 @@ { "cell_type": "code", "execution_count": 28, - "id": "da2d74fa", + "id": "e299478f", "metadata": { "collapsed": false, "editable": true @@ -2762,7 +2764,7 @@ }, { "cell_type": "markdown", - "id": "45f911b8", + "id": "1c58f8b5", "metadata": { "editable": true }, @@ -2776,7 +2778,7 @@ { "cell_type": "code", "execution_count": 29, - "id": "b21a2c19", + "id": "e2e095b5", "metadata": { "collapsed": false, "editable": true @@ -2807,7 +2809,7 @@ }, { "cell_type": "markdown", - "id": "80801250", + "id": "9bcbed3e", "metadata": { "editable": true }, @@ -2818,7 +2820,7 @@ { "cell_type": "code", "execution_count": 30, - "id": "303e085a", + "id": "70cd9e5f", "metadata": { "collapsed": false, "editable": true @@ -2862,7 +2864,7 @@ }, { "cell_type": "markdown", - "id": "9358790a", + "id": "014fa73f", "metadata": { "editable": true }, @@ -2885,7 +2887,7 @@ { "cell_type": "code", "execution_count": 31, - "id": "a238def8", + "id": "f8e412f7", "metadata": { "collapsed": false, "editable": true @@ -2912,7 +2914,7 @@ }, { "cell_type": "markdown", - "id": "2ef943ac", + "id": "d05866a6", "metadata": { "editable": true }, @@ -2923,7 +2925,7 @@ { "cell_type": "code", "execution_count": 32, - "id": "afeabf8f", + "id": "1af34a20", "metadata": { "collapsed": false, "editable": true @@ -2968,7 +2970,7 @@ }, { "cell_type": "markdown", - "id": "3dd5dfb4", + "id": "372abcde", "metadata": { "editable": true }, @@ -2986,7 +2988,7 @@ }, { "cell_type": "markdown", - "id": "72754d13", + "id": "6b3fc4a5", "metadata": { "editable": true }, @@ -3021,7 +3023,7 @@ { "cell_type": "code", "execution_count": 33, - "id": "9fc42ba6", + "id": "5f88d47b", "metadata": { "collapsed": false, "editable": true @@ -3033,7 +3035,7 @@ }, { "cell_type": "markdown", - "id": "35795551", + "id": "fe89b2bd", "metadata": { "editable": true }, @@ -3045,7 +3047,7 @@ { "cell_type": "code", "execution_count": 34, - "id": "1dabca19", + "id": "51009ec1", "metadata": { "collapsed": false, "editable": true @@ -3058,7 +3060,7 @@ }, { "cell_type": "markdown", - "id": "be829505", + "id": "6b00853a", "metadata": { "editable": true }, @@ -3069,7 +3071,7 @@ { "cell_type": "code", "execution_count": 35, - "id": "7d92ce1c", + "id": "27d84846", "metadata": { "collapsed": false, "editable": true @@ -3082,7 +3084,7 @@ }, { "cell_type": "markdown", - "id": "057049d7", + "id": "efb95ce2", "metadata": { "editable": true }, @@ -3097,7 +3099,7 @@ { "cell_type": "code", "execution_count": 36, - "id": "0837641b", + "id": "ff0d76a6", "metadata": { "collapsed": false, "editable": true @@ -3109,7 +3111,7 @@ }, { "cell_type": "markdown", - "id": "19d5a72d", + "id": "16ceb812", "metadata": { "editable": true }, @@ -3121,7 +3123,7 @@ }, { "cell_type": "markdown", - "id": "4ae0b49b", + "id": "d1be0e7f", "metadata": { "editable": true }, @@ -3134,7 +3136,7 @@ { "cell_type": "code", "execution_count": 37, - "id": "429afe53", + "id": "3f300c00", "metadata": { "collapsed": false, "editable": true @@ -3189,7 +3191,7 @@ { "cell_type": "code", "execution_count": 38, - "id": "887c06b9", + "id": "fa0d45c3", "metadata": { "collapsed": false, "editable": true @@ -3218,7 +3220,7 @@ { "cell_type": "code", "execution_count": 39, - "id": "a4d8f64e", + "id": "8cdc8534", "metadata": { "collapsed": false, "editable": true @@ -3248,7 +3250,7 @@ { "cell_type": "code", "execution_count": 40, - "id": "b8fb8fa0", + "id": "2fbe350d", "metadata": { "collapsed": false, "editable": true @@ -3275,7 +3277,7 @@ { "cell_type": "code", "execution_count": 41, - "id": "7777faa8", + "id": "4eae49aa", "metadata": { "collapsed": false, "editable": true @@ -3317,7 +3319,7 @@ }, { "cell_type": "markdown", - "id": "bb6d1d3e", + "id": "43439e76", "metadata": { "editable": true }, @@ -3328,7 +3330,7 @@ { "cell_type": "code", "execution_count": 42, - "id": "d8c0caf4", + "id": "dabd1a04", "metadata": { "collapsed": false, "editable": true @@ -3505,7 +3507,7 @@ }, { "cell_type": "markdown", - "id": "2631b51d", + "id": "23e4f61b", "metadata": { "editable": true }, @@ -3533,7 +3535,7 @@ }, { "cell_type": "markdown", - "id": "357644b3", + "id": "c9bfa99f", "metadata": { "editable": true }, @@ -3556,7 +3558,7 @@ }, { "cell_type": "markdown", - "id": "06854c7f", + "id": "7c5e58d3", "metadata": { "editable": true }, @@ -3587,7 +3589,7 @@ }, { "cell_type": "markdown", - "id": "bb26a6da", + "id": "6b470b84", "metadata": { "editable": true }, @@ -3619,7 +3621,7 @@ }, { "cell_type": "markdown", - "id": "0277931e", + "id": "370e81e1", "metadata": { "editable": true }, @@ -3657,7 +3659,7 @@ }, { "cell_type": "markdown", - "id": "93a45265", + "id": "0bdbe74e", "metadata": { "editable": true }, @@ -3682,7 +3684,7 @@ }, { "cell_type": "markdown", - "id": "7feb8c33", + "id": "cfa436f9", "metadata": { "editable": true }, @@ -3694,7 +3696,7 @@ }, { "cell_type": "markdown", - "id": "1f55cf23", + "id": "1b53aede", "metadata": { "editable": true }, @@ -3717,7 +3719,7 @@ }, { "cell_type": "markdown", - "id": "7cea0ca3", + "id": "3d2e808b", "metadata": { "editable": true }, @@ -3737,7 +3739,7 @@ }, { "cell_type": "markdown", - "id": "086014d5", + "id": "19b958c3", "metadata": { "editable": true }, @@ -3759,7 +3761,7 @@ }, { "cell_type": "markdown", - "id": "9bc419af", + "id": "1f4fd499", "metadata": { "editable": true }, @@ -3777,7 +3779,7 @@ }, { "cell_type": "markdown", - "id": "a9198ed4", + "id": "99d0d4c8", "metadata": { "editable": true }, @@ -3796,7 +3798,7 @@ }, { "cell_type": "markdown", - "id": "75c023d8", + "id": "ee14cc3a", "metadata": { "editable": true }, @@ -3808,7 +3810,7 @@ }, { "cell_type": "markdown", - "id": "2d2e4666", + "id": "3f5a367a", "metadata": { "editable": true }, @@ -3853,7 +3855,7 @@ }, { "cell_type": "markdown", - "id": "23dc45c2", + "id": "687050b9", "metadata": { "editable": true }, @@ -3883,7 +3885,7 @@ }, { "cell_type": "markdown", - "id": "8d80aba5", + "id": "0ccb8f74", "metadata": { "editable": true }, @@ -3910,7 +3912,7 @@ }, { "cell_type": "markdown", - "id": "b8d6cf49", + "id": "97d510ab", "metadata": { "editable": true }, @@ -3924,7 +3926,7 @@ }, { "cell_type": "markdown", - "id": "ba566ae5", + "id": "fe825851", "metadata": { "editable": true }, @@ -3941,7 +3943,7 @@ }, { "cell_type": "markdown", - "id": "fddca9d2", + "id": "780538d0", "metadata": { "editable": true }, @@ -3957,7 +3959,7 @@ }, { "cell_type": "markdown", - "id": "11ed9eb7", + "id": "f373c843", "metadata": { "editable": true }, @@ -3969,7 +3971,7 @@ }, { "cell_type": "markdown", - "id": "ab228680", + "id": "72db62ef", "metadata": { "editable": true }, @@ -3987,7 +3989,7 @@ }, { "cell_type": "markdown", - "id": "a620d020", + "id": "9f423f32", "metadata": { "editable": true }, @@ -4008,7 +4010,7 @@ }, { "cell_type": "markdown", - "id": "4de72e77", + "id": "54daf83b", "metadata": { "editable": true }, @@ -4025,7 +4027,7 @@ }, { "cell_type": "markdown", - "id": "60ef63bb", + "id": "30a7ebea", "metadata": { "editable": true }, @@ -4037,7 +4039,7 @@ }, { "cell_type": "markdown", - "id": "6c719d5b", + "id": "a3c57c9f", "metadata": { "editable": true }, @@ -4048,7 +4050,7 @@ }, { "cell_type": "markdown", - "id": "3a6248cc", + "id": "f5f5d8ac", "metadata": { "editable": true }, @@ -4065,7 +4067,7 @@ }, { "cell_type": "markdown", - "id": "937fbb4d", + "id": "1ce283c1", "metadata": { "editable": true }, @@ -4076,7 +4078,7 @@ }, { "cell_type": "markdown", - "id": "985098ad", + "id": "cd9ff0af", "metadata": { "editable": true }, @@ -4092,7 +4094,7 @@ }, { "cell_type": "markdown", - "id": "7a2ade22", + "id": "28c63a03", "metadata": { "editable": true }, @@ -4104,7 +4106,7 @@ }, { "cell_type": "markdown", - "id": "4b50fe09", + "id": "4269d121", "metadata": { "editable": true }, @@ -4121,7 +4123,7 @@ }, { "cell_type": "markdown", - "id": "310ac762", + "id": "6b0e72c3", "metadata": { "editable": true }, @@ -4133,7 +4135,7 @@ }, { "cell_type": "markdown", - "id": "8ce2620f", + "id": "2295a2d8", "metadata": { "editable": true }, @@ -4151,7 +4153,7 @@ }, { "cell_type": "markdown", - "id": "78459d15", + "id": "e5e41afe", "metadata": { "editable": true }, @@ -4161,7 +4163,7 @@ }, { "cell_type": "markdown", - "id": "d40f94e2", + "id": "2150df23", "metadata": { "editable": true }, @@ -4173,7 +4175,7 @@ }, { "cell_type": "markdown", - "id": "c5f2c97d", + "id": "0903b255", "metadata": { "editable": true }, @@ -4190,7 +4192,7 @@ }, { "cell_type": "markdown", - "id": "bb30f7cc", + "id": "fe2da1fe", "metadata": { "editable": true }, @@ -4202,7 +4204,7 @@ }, { "cell_type": "markdown", - "id": "a5d8512c", + "id": "75fea33a", "metadata": { "editable": true }, @@ -4213,7 +4215,7 @@ }, { "cell_type": "markdown", - "id": "1c888249", + "id": "297320fa", "metadata": { "editable": true }, @@ -4225,7 +4227,7 @@ }, { "cell_type": "markdown", - "id": "477dada7", + "id": "7905db70", "metadata": { "editable": true }, @@ -4235,7 +4237,7 @@ }, { "cell_type": "markdown", - "id": "8e5e2b68", + "id": "7dbc7af5", "metadata": { "editable": true }, @@ -4255,7 +4257,7 @@ }, { "cell_type": "markdown", - "id": "84150e8d", + "id": "52a2f0e5", "metadata": { "editable": true }, @@ -4272,7 +4274,7 @@ }, { "cell_type": "markdown", - "id": "3f25aabb", + "id": "fc2672cb", "metadata": { "editable": true }, @@ -4291,7 +4293,7 @@ }, { "cell_type": "markdown", - "id": "ce6c0a98", + "id": "273c2869", "metadata": { "editable": true }, @@ -4303,7 +4305,7 @@ }, { "cell_type": "markdown", - "id": "17805209", + "id": "8fae3b2f", "metadata": { "editable": true }, @@ -4313,7 +4315,7 @@ }, { "cell_type": "markdown", - "id": "f9984101", + "id": "dc98cc83", "metadata": { "editable": true }, @@ -4330,7 +4332,7 @@ }, { "cell_type": "markdown", - "id": "4abcf7b3", + "id": "dbd04093", "metadata": { "editable": true }, @@ -4340,7 +4342,7 @@ }, { "cell_type": "markdown", - "id": "3a4b99d7", + "id": "4fed45e1", "metadata": { "editable": true }, @@ -4356,7 +4358,7 @@ }, { "cell_type": "markdown", - "id": "261d5f57", + "id": "5708fcb2", "metadata": { "editable": true }, @@ -4368,7 +4370,7 @@ }, { "cell_type": "markdown", - "id": "0c7e0ed7", + "id": "7997d84c", "metadata": { "editable": true }, @@ -4380,7 +4382,7 @@ }, { "cell_type": "markdown", - "id": "410091f0", + "id": "78213356", "metadata": { "editable": true }, @@ -4392,7 +4394,7 @@ }, { "cell_type": "markdown", - "id": "17f0e1e7", + "id": "27349563", "metadata": { "editable": true }, @@ -4402,7 +4404,7 @@ }, { "cell_type": "markdown", - "id": "acac4ddf", + "id": "2b61bb07", "metadata": { "editable": true }, @@ -4414,7 +4416,7 @@ }, { "cell_type": "markdown", - "id": "0b3bdcec", + "id": "5fe5b8e2", "metadata": { "editable": true }, @@ -4431,7 +4433,7 @@ }, { "cell_type": "markdown", - "id": "8b71f89e", + "id": "2de1c60a", "metadata": { "editable": true }, @@ -4441,7 +4443,7 @@ }, { "cell_type": "markdown", - "id": "b1a4b8b2", + "id": "b65d6687", "metadata": { "editable": true }, @@ -4453,7 +4455,7 @@ }, { "cell_type": "markdown", - "id": "bb3f35b1", + "id": "ca8a5a81", "metadata": { "editable": true }, @@ -4467,7 +4469,7 @@ }, { "cell_type": "markdown", - "id": "bb8eac7a", + "id": "b8614294", "metadata": { "editable": true }, @@ -4483,7 +4485,7 @@ }, { "cell_type": "markdown", - "id": "23361eba", + "id": "76363167", "metadata": { "editable": true }, @@ -4495,7 +4497,7 @@ }, { "cell_type": "markdown", - "id": "94bf3ada", + "id": "802de3e1", "metadata": { "editable": true }, @@ -4517,7 +4519,7 @@ }, { "cell_type": "markdown", - "id": "ff0afe4b", + "id": "de92874a", "metadata": { "editable": true }, @@ -4529,7 +4531,7 @@ }, { "cell_type": "markdown", - "id": "393ee959", + "id": "b5209d15", "metadata": { "editable": true }, @@ -4552,7 +4554,7 @@ }, { "cell_type": "markdown", - "id": "f2df5cfc", + "id": "ad9f3dfb", "metadata": { "editable": true }, @@ -4568,7 +4570,7 @@ }, { "cell_type": "markdown", - "id": "f6358bb7", + "id": "ecf5c2d9", "metadata": { "editable": true }, @@ -4580,7 +4582,7 @@ }, { "cell_type": "markdown", - "id": "ef56bb84", + "id": "525fe8e7", "metadata": { "editable": true }, @@ -4604,7 +4606,7 @@ }, { "cell_type": "markdown", - "id": "acd41944", + "id": "6938f171", "metadata": { "editable": true }, @@ -4616,7 +4618,7 @@ }, { "cell_type": "markdown", - "id": "1a2a7e92", + "id": "592ce735", "metadata": { "editable": true }, @@ -4637,7 +4639,7 @@ }, { "cell_type": "markdown", - "id": "a082637c", + "id": "4e757d4b", "metadata": { "editable": true }, @@ -4649,7 +4651,7 @@ }, { "cell_type": "markdown", - "id": "dfc24dff", + "id": "b949460f", "metadata": { "editable": true }, @@ -4668,7 +4670,7 @@ }, { "cell_type": "markdown", - "id": "90f81e55", + "id": "7dbdf166", "metadata": { "editable": true }, @@ -4678,7 +4680,7 @@ }, { "cell_type": "markdown", - "id": "3693fc3b", + "id": "64247852", "metadata": { "editable": true }, @@ -4692,7 +4694,7 @@ }, { "cell_type": "markdown", - "id": "2bb540dd", + "id": "5b12d0ef", "metadata": { "editable": true }, @@ -4704,7 +4706,7 @@ }, { "cell_type": "markdown", - "id": "5fad7cc5", + "id": "22b5cd55", "metadata": { "editable": true }, @@ -4716,7 +4718,7 @@ }, { "cell_type": "markdown", - "id": "c9a47e0a", + "id": "1adf129e", "metadata": { "editable": true }, @@ -4733,7 +4735,7 @@ }, { "cell_type": "markdown", - "id": "f579f1d0", + "id": "380767da", "metadata": { "editable": true }, @@ -4745,7 +4747,7 @@ }, { "cell_type": "markdown", - "id": "f980cb6a", + "id": "c8f1251c", "metadata": { "editable": true }, @@ -4767,7 +4769,7 @@ }, { "cell_type": "markdown", - "id": "de47a73d", + "id": "3d864d42", "metadata": { "editable": true }, @@ -4782,7 +4784,7 @@ }, { "cell_type": "markdown", - "id": "5eacb34e", + "id": "53e11ad4", "metadata": { "editable": true }, @@ -4793,7 +4795,7 @@ { "cell_type": "code", "execution_count": 43, - "id": "77235f88", + "id": "87126ea3", "metadata": { "collapsed": false, "editable": true @@ -4948,7 +4950,7 @@ }, { "cell_type": "markdown", - "id": "0147790d", + "id": "85cdbffb", "metadata": { "editable": true }, @@ -4963,7 +4965,7 @@ { "cell_type": "code", "execution_count": 44, - "id": "59eb96af", + "id": "ea147bd8", "metadata": { "collapsed": false, "editable": true @@ -5132,7 +5134,7 @@ }, { "cell_type": "markdown", - "id": "dc02c291", + "id": "a9c208db", "metadata": { "editable": true }, @@ -5145,7 +5147,7 @@ }, { "cell_type": "markdown", - "id": "c8fff51e", + "id": "5c9d7463", "metadata": { "editable": true }, @@ -5162,7 +5164,7 @@ }, { "cell_type": "markdown", - "id": "3751edf7", + "id": "959a791d", "metadata": { "editable": true }, @@ -5178,7 +5180,7 @@ }, { "cell_type": "markdown", - "id": "a502c731", + "id": "4d9192ef", "metadata": { "editable": true }, @@ -5191,7 +5193,7 @@ }, { "cell_type": "markdown", - "id": "eb73f07e", + "id": "cd3254e9", "metadata": { "editable": true }, @@ -5208,7 +5210,7 @@ }, { "cell_type": "markdown", - "id": "9ab9d930", + "id": "13dfafca", "metadata": { "editable": true }, @@ -5220,7 +5222,7 @@ }, { "cell_type": "markdown", - "id": "9cb8689a", + "id": "98e4108f", "metadata": { "editable": true }, @@ -5247,7 +5249,7 @@ }, { "cell_type": "markdown", - "id": "d21e3a14", + "id": "6ef89c8b", "metadata": { "editable": true }, @@ -5260,7 +5262,7 @@ { "cell_type": "code", "execution_count": 45, - "id": "833da16b", + "id": "5cb44c16", "metadata": { "collapsed": false, "editable": true @@ -5434,7 +5436,7 @@ }, { "cell_type": "markdown", - "id": "0fdcf8c5", + "id": "3357aac9", "metadata": { "editable": true }, @@ -5454,7 +5456,7 @@ }, { "cell_type": "markdown", - "id": "0a057338", + "id": "8766414a", "metadata": { "editable": true }, @@ -5469,7 +5471,7 @@ }, { "cell_type": "markdown", - "id": "6721bcf2", + "id": "e5ba08c5", "metadata": { "editable": true }, @@ -5483,7 +5485,7 @@ }, { "cell_type": "markdown", - "id": "dc3db9fd", + "id": "0ab225a5", "metadata": { "editable": true }, @@ -5499,7 +5501,7 @@ }, { "cell_type": "markdown", - "id": "9af3fd6a", + "id": "5449a58e", "metadata": { "editable": true }, @@ -5509,7 +5511,7 @@ }, { "cell_type": "markdown", - "id": "4c2da445", + "id": "a8b2c62b", "metadata": { "editable": true }, @@ -5531,7 +5533,7 @@ }, { "cell_type": "markdown", - "id": "93b58380", + "id": "e96c80e9", "metadata": { "editable": true }, @@ -5545,7 +5547,7 @@ { "cell_type": "code", "execution_count": 46, - "id": "cb73915d", + "id": "72270271", "metadata": { "collapsed": false, "editable": true @@ -5621,7 +5623,7 @@ }, { "cell_type": "markdown", - "id": "c9d250c7", + "id": "e91781d3", "metadata": { "editable": true }, @@ -5633,7 +5635,7 @@ }, { "cell_type": "markdown", - "id": "0d67bc8c", + "id": "f004baeb", "metadata": { "editable": true }, @@ -5650,7 +5652,7 @@ }, { "cell_type": "markdown", - "id": "fe4ee5a8", + "id": "4005279b", "metadata": { "editable": true }, @@ -5662,7 +5664,7 @@ }, { "cell_type": "markdown", - "id": "62b400ca", + "id": "41750a28", "metadata": { "editable": true }, @@ -5677,7 +5679,7 @@ }, { "cell_type": "markdown", - "id": "7d4723f2", + "id": "7ac869b8", "metadata": { "editable": true }, @@ -5689,7 +5691,7 @@ }, { "cell_type": "markdown", - "id": "97889b0e", + "id": "3f838e66", "metadata": { "editable": true }, @@ -5701,7 +5703,7 @@ }, { "cell_type": "markdown", - "id": "236028bc", + "id": "981f744e", "metadata": { "editable": true }, @@ -5713,7 +5715,7 @@ }, { "cell_type": "markdown", - "id": "a4334818", + "id": "73504342", "metadata": { "editable": true }, @@ -5723,7 +5725,7 @@ }, { "cell_type": "markdown", - "id": "8330dd77", + "id": "65918eb3", "metadata": { "editable": true }, @@ -5740,7 +5742,7 @@ }, { "cell_type": "markdown", - "id": "78522018", + "id": "e1f3e150", "metadata": { "editable": true }, @@ -5752,7 +5754,7 @@ }, { "cell_type": "markdown", - "id": "943956e4", + "id": "b4d54816", "metadata": { "editable": true }, @@ -5764,7 +5766,7 @@ }, { "cell_type": "markdown", - "id": "3c7b57e2", + "id": "761ba010", "metadata": { "editable": true }, @@ -5774,7 +5776,7 @@ }, { "cell_type": "markdown", - "id": "55173c99", + "id": "de0a4270", "metadata": { "editable": true }, @@ -5786,7 +5788,7 @@ }, { "cell_type": "markdown", - "id": "a6d078e4", + "id": "b3df6b28", "metadata": { "editable": true }, @@ -5797,7 +5799,7 @@ { "cell_type": "code", "execution_count": 47, - "id": "452c599c", + "id": "0ea196b5", "metadata": { "collapsed": false, "editable": true @@ -5958,7 +5960,7 @@ }, { "cell_type": "markdown", - "id": "8ca2348f", + "id": "9229281a", "metadata": { "editable": true }, @@ -5980,7 +5982,7 @@ }, { "cell_type": "markdown", - "id": "0ccc174e", + "id": "c07a6324", "metadata": { "editable": true }, @@ -5997,7 +5999,7 @@ }, { "cell_type": "markdown", - "id": "d4601257", + "id": "28c6e156", "metadata": { "editable": true }, @@ -6007,7 +6009,7 @@ }, { "cell_type": "markdown", - "id": "9ec01889", + "id": "c8cb001c", "metadata": { "editable": true }, @@ -6022,7 +6024,7 @@ }, { "cell_type": "markdown", - "id": "71993d6c", + "id": "2ea0c3eb", "metadata": { "editable": true }, @@ -6032,7 +6034,7 @@ }, { "cell_type": "markdown", - "id": "f6acfae4", + "id": "91bd65f6", "metadata": { "editable": true }, @@ -6047,7 +6049,7 @@ }, { "cell_type": "markdown", - "id": "6540422f", + "id": "8196883f", "metadata": { "editable": true }, @@ -6058,7 +6060,7 @@ }, { "cell_type": "markdown", - "id": "fd8c2326", + "id": "a3dbac1d", "metadata": { "editable": true }, @@ -6078,7 +6080,7 @@ }, { "cell_type": "markdown", - "id": "74eabad7", + "id": "fa4b53ba", "metadata": { "editable": true }, @@ -6090,7 +6092,7 @@ }, { "cell_type": "markdown", - "id": "f9d16e2f", + "id": "ae62439e", "metadata": { "editable": true }, @@ -6127,7 +6129,7 @@ }, { "cell_type": "markdown", - "id": "68c24098", + "id": "3ab45a2b", "metadata": { "editable": true }, @@ -6137,7 +6139,7 @@ }, { "cell_type": "markdown", - "id": "02c1e06d", + "id": "64114f21", "metadata": { "editable": true }, @@ -6150,7 +6152,7 @@ { "cell_type": "code", "execution_count": 48, - "id": "972b8e94", + "id": "16f3ae01", "metadata": { "collapsed": false, "editable": true @@ -6351,7 +6353,7 @@ }, { "cell_type": "markdown", - "id": "734d97bc", + "id": "496273dc", "metadata": { "editable": true }, @@ -6368,7 +6370,7 @@ }, { "cell_type": "markdown", - "id": "2c2d0e2c", + "id": "c5fafc34", "metadata": { "editable": true }, @@ -6385,7 +6387,7 @@ }, { "cell_type": "markdown", - "id": "9de00307", + "id": "9da50613", "metadata": { "editable": true }, @@ -6395,7 +6397,7 @@ }, { "cell_type": "markdown", - "id": "cb659253", + "id": "7d878f57", "metadata": { "editable": true }, @@ -6410,7 +6412,7 @@ }, { "cell_type": "markdown", - "id": "909d23ae", + "id": "f733da79", "metadata": { "editable": true }, @@ -6424,7 +6426,7 @@ }, { "cell_type": "markdown", - "id": "e3607f9e", + "id": "75200533", "metadata": { "editable": true }, @@ -6437,7 +6439,7 @@ }, { "cell_type": "markdown", - "id": "e0254d92", + "id": "9eca0d3c", "metadata": { "editable": true }, @@ -6457,7 +6459,7 @@ }, { "cell_type": "markdown", - "id": "7a787737", + "id": "6763a3ba", "metadata": { "editable": true }, @@ -6469,7 +6471,7 @@ }, { "cell_type": "markdown", - "id": "42cfda53", + "id": "7ad92188", "metadata": { "editable": true }, @@ -6481,7 +6483,7 @@ }, { "cell_type": "markdown", - "id": "41fdd74a", + "id": "74a848a9", "metadata": { "editable": true }, @@ -6493,7 +6495,7 @@ }, { "cell_type": "markdown", - "id": "9a43a5c3", + "id": "604cb0d2", "metadata": { "editable": true }, @@ -6503,7 +6505,7 @@ }, { "cell_type": "markdown", - "id": "2deb98de", + "id": "a375f71b", "metadata": { "editable": true }, @@ -6515,7 +6517,7 @@ }, { "cell_type": "markdown", - "id": "367f7d4b", + "id": "db03df01", "metadata": { "editable": true }, @@ -6527,7 +6529,7 @@ }, { "cell_type": "markdown", - "id": "4ace8d41", + "id": "ad1e5bb9", "metadata": { "editable": true }, @@ -6539,7 +6541,7 @@ }, { "cell_type": "markdown", - "id": "014d9b72", + "id": "3e5c1a4b", "metadata": { "editable": true }, @@ -6549,7 +6551,7 @@ }, { "cell_type": "markdown", - "id": "91cb0d4f", + "id": "907a6d4c", "metadata": { "editable": true }, @@ -6565,7 +6567,7 @@ }, { "cell_type": "markdown", - "id": "7015c1df", + "id": "20d93513", "metadata": { "editable": true }, @@ -6575,7 +6577,7 @@ }, { "cell_type": "markdown", - "id": "a170f9bf", + "id": "c7780ae9", "metadata": { "editable": true }, @@ -6587,7 +6589,7 @@ }, { "cell_type": "markdown", - "id": "f79c87b0", + "id": "ed12bd6d", "metadata": { "editable": true }, @@ -6604,7 +6606,7 @@ }, { "cell_type": "markdown", - "id": "7b00c2c7", + "id": "5be52dcf", "metadata": { "editable": true }, @@ -6614,7 +6616,7 @@ }, { "cell_type": "markdown", - "id": "1da2ec1f", + "id": "f759b8d1", "metadata": { "editable": true }, @@ -6630,7 +6632,7 @@ }, { "cell_type": "markdown", - "id": "d048b2b0", + "id": "014834ff", "metadata": { "editable": true }, @@ -6644,7 +6646,7 @@ }, { "cell_type": "markdown", - "id": "2a5423c6", + "id": "7bbb7493", "metadata": { "editable": true }, @@ -6663,7 +6665,7 @@ { "cell_type": "code", "execution_count": 49, - "id": "39978a3f", + "id": "4019a7dd", "metadata": { "collapsed": false, "editable": true @@ -6718,7 +6720,7 @@ }, { "cell_type": "markdown", - "id": "d86acd9a", + "id": "d5cd516b", "metadata": { "editable": true }, @@ -6748,7 +6750,7 @@ }, { "cell_type": "markdown", - "id": "219af542", + "id": "8affc5a2", "metadata": { "editable": true }, @@ -6777,7 +6779,7 @@ { "cell_type": "code", "execution_count": 50, - "id": "0300f83e", + "id": "6803b65e", "metadata": { "collapsed": false, "editable": true @@ -6824,7 +6826,7 @@ }, { "cell_type": "markdown", - "id": "63ff2d7d", + "id": "59db5670", "metadata": { "editable": true }, @@ -6850,7 +6852,7 @@ { "cell_type": "code", "execution_count": 51, - "id": "504a8a89", + "id": "eec1a5f5", "metadata": { "collapsed": false, "editable": true @@ -7084,7 +7086,7 @@ }, { "cell_type": "markdown", - "id": "2154560c", + "id": "256d8ad9", "metadata": { "editable": true }, @@ -7096,7 +7098,7 @@ }, { "cell_type": "markdown", - "id": "36990efc", + "id": "4772948f", "metadata": { "editable": true }, @@ -7108,7 +7110,7 @@ }, { "cell_type": "markdown", - "id": "d4e6e7d4", + "id": "323bc655", "metadata": { "editable": true }, @@ -7120,7 +7122,7 @@ }, { "cell_type": "markdown", - "id": "cca6cfed", + "id": "fbe75888", "metadata": { "editable": true }, @@ -7137,7 +7139,7 @@ }, { "cell_type": "markdown", - "id": "19f73071", + "id": "29fc55b0", "metadata": { "editable": true }, @@ -7147,7 +7149,7 @@ }, { "cell_type": "markdown", - "id": "3e637804", + "id": "5f9c311c", "metadata": { "editable": true }, @@ -7159,7 +7161,7 @@ }, { "cell_type": "markdown", - "id": "1a3ef69a", + "id": "583599b9", "metadata": { "editable": true }, @@ -7176,7 +7178,7 @@ }, { "cell_type": "markdown", - "id": "b9206a11", + "id": "3fe68796", "metadata": { "editable": true }, @@ -7187,7 +7189,7 @@ }, { "cell_type": "markdown", - "id": "3050dcc1", + "id": "858bcccf", "metadata": { "editable": true }, @@ -7207,7 +7209,7 @@ }, { "cell_type": "markdown", - "id": "2adca788", + "id": "9a46e1cb", "metadata": { "editable": true }, @@ -7217,7 +7219,7 @@ }, { "cell_type": "markdown", - "id": "9d36478f", + "id": "f0e68c83", "metadata": { "editable": true }, @@ -7243,7 +7245,7 @@ }, { "cell_type": "markdown", - "id": "f5a39291", + "id": "c80f96fe", "metadata": { "editable": true }, @@ -7259,7 +7261,7 @@ }, { "cell_type": "markdown", - "id": "2090b5b8", + "id": "a82fb339", "metadata": { "editable": true }, @@ -7270,7 +7272,7 @@ { "cell_type": "code", "execution_count": 52, - "id": "0598530e", + "id": "744f5688", "metadata": { "collapsed": false, "editable": true @@ -7501,7 +7503,7 @@ }, { "cell_type": "markdown", - "id": "518138c8", + "id": "b1e76cca", "metadata": { "editable": true },

Week 43: Deep Learning: Constructing a Neural Network code and solving differential equations¶

Morten Hjorth-Jensen, Department of Physics, University of Oslo and Department of Physics and Astronomy and Facility for Rare Isotope Beams, Michigan State University

-

Date: Oct 25, 2023

+

Date: Oct 26, 2023

Copyright 1999-2023, Morten Hjorth-Jensen. Released under CC Attribution-NonCommercial 4.0 license

Plans for week 43¶

@@ -1528,6 +1528,7 @@ doconce format html week43.do.txt --no_mako -->

  • Exercise on writing your own neural network code, application to the OR and XOR gates

  • The exercises this week will be continued next week as well

  • Discussion of project 2

    • +

  • Video of lab session

    • Material for the lecture on Thursday October 26, 2023.

      @@ -1888,9 +1889,8 @@ Accuracy score on data set: 0.5 Learning rate = 0.0001 Lambda = 1.0 Accuracy score on data set: 0.5 -
    -