update week 42

2024-10-12 11:00:05 +02:00
parent 004b958dc8
commit 08f979fdf1
60 changed files with 5362 additions and 5349 deletions
@@ -1,19 +1,16 @@
-TITLE: Week 42 Constructing a Neural Network code with introduction to Tensor flow
+TITLE: Week 42 Constructing a Neural Network code with examples
 AUTHOR: Morten Hjorth-Jensen {copyright, 1999-present|CC BY-NC} at Department of Physics, University of Oslo & Department of Physics and Astronomy and Facility for Rare Isotope Beams, Michigan State University
-DATE: October 16-20, 2023
+DATE: October 14-18, 2024



 !split
 ===== Plan for week 42 =====

-!bblock  Material for the active learning sessions on Tuesday and Wednesday
-  * Exercise on writing your own stochastic gradient and gradient descent codes. This exercise continues from the previous  week but now with inclusion of automatic differentiation
-  * Discussion of project 2
-  * "See video on automatic differentiation from last year":"https://www.youtube.com/watch?v=cWCebuNKrA8". This video will be updated before Tuesday. 
-!eblock  

-!bblock Material for the lecture on Thursday October 12, 2023
+!split
+===== Lecture October 14, 2024 =====
+!bblock
  * Building our own Feed-forward Neural Network and discussion of project 2
  * Readings and Videos:
    * These lecture notes
@@ -28,10 +25,13 @@ DATE: October 16-20, 2023
 I also  recommend Michael Nielsen's intuitive approach to the neural networks and the universal approximation theorem, see the slides at URL:"http://neuralnetworksanddeeplearning.com/chap4.html".
 !eblock

-
-
 !split
-===== Lecture Thursday October 19 =====
+===== Material for the active learning sessions on Tuesday and Wednesday =====
+!bblock  
+  * Exercise on writing your own stochastic gradient and gradient descent codes. This exercise continues from the previous  week but now with inclusion of automatic differentiation
+  * Discussion of project 2
+!eblock  
+


 !split