updating weekly plans

doc/web/course.dlog

@@ -147,3 +147,6 @@ output in course.html
 running mako on course.do.txt to make tmp_mako__course.do.txt
 translating doconce text in tmp_mako__course.do.txt to html
 output in course.html
+running mako on course.do.txt to make tmp_mako__course.do.txt
+translating doconce text in tmp_mako__course.do.txt to html
+output in course.html

doc/web/course.do.txt

@@ -10,9 +10,9 @@ chapters = {
  'week36': 'Week 36 August 31- September 4: Resampling techniques, Cross-validation and Bootstrap and start discussion of Ridge regression',
  'week37': 'Week 37 September 7-11: Ridge and Lasso Regression',
  'week38': 'Week 38 September 14-18: Summary of linear regression methods and start Logistic Regression',
- 'week39': 'Week 39 September 21-25: Logistic Regression and Gradient methods. Start Neural Networks',
- 'week40': 'Week 40 September 28 - October 2: Neural Networks, building a multi-layer Perceptron model',
- 'week41': 'Week 41 October 5-9: Introduction to Tensorflow and deep learning (Convolutional Neural Networks and Recurrent Neural Networks)',
+ 'week39': 'Week 39 September 21-25: Logistic Regression and Gradient methods',
+ 'week40': 'Week 40 September 28 - October 2: Stochastic Gradient Descent and Neural Networks, starting to build a multi-layer Perceptron model',
+ 'week41': 'Week 41 October 5-9: Building a multi-layer perceptron code and introduction to Tensorflow',
  'week42': 'Week 42 October 12-16: Deep learning (Convolutional Neural Networks and Recurrent Neural Networks',
  'week43': 'Week 43 October 19-23: Dimesionality Reduction, Principal Component analysis',
  'week44': 'Week 44 October 26-30: Decision Trees and Bagging',

doc/web/course.html

@@ -69,18 +69,18 @@ div { text-align: justify; text-justify: inter-word; }
                None,
                '___sec4'),
               ('Week 39 September 21-25: Logistic Regression and Gradient '
-               'methods. Start Neural Networks',
+               'methods',
                2,
                None,
                '___sec5'),
-              ('Week 40 September 28 - October 2: Neural Networks, building a '
-               'multi-layer Perceptron model',
+              ('Week 40 September 28 - October 2: Stochastic Gradient Descent '
+               'and Neural Networks, starting to build a multi-layer '
+               'Perceptron model',
                2,
                None,
                '___sec6'),
-              ('Week 41 October 5-9: Introduction to Tensorflow and deep '
-               'learning (Convolutional Neural Networks and Recurrent Neural '
-               'Networks)',
+              ('Week 41 October 5-9: Building a multi-layer perceptron code '
+               'and introduction to Tensorflow',
                2,
                None,
                '___sec7'),
@@ -254,7 +254,7 @@ The teaching material is produced in various formats for running codes (jupyter
 
 </ul>
 
-<h2 id="___sec5">Week 39 September 21-25: Logistic Regression and Gradient methods. Start Neural Networks </h2>
+<h2 id="___sec5">Week 39 September 21-25: Logistic Regression and Gradient methods </h2>
 
 <ul>
  <li> HTML:</li>
@@ -273,7 +273,7 @@ The teaching material is produced in various formats for running codes (jupyter
 
 </ul>
 
-<h2 id="___sec6">Week 40 September 28 - October 2: Neural Networks, building a multi-layer Perceptron model </h2>
+<h2 id="___sec6">Week 40 September 28 - October 2: Stochastic Gradient Descent and Neural Networks, starting to build a multi-layer Perceptron model </h2>
 
 <ul>
  <li> HTML:</li>
@@ -292,7 +292,7 @@ The teaching material is produced in various formats for running codes (jupyter
 
 </ul>
 
-<h2 id="___sec7">Week 41 October 5-9: Introduction to Tensorflow and deep learning (Convolutional Neural Networks and Recurrent Neural Networks) </h2>
+<h2 id="___sec7">Week 41 October 5-9: Building a multi-layer perceptron code and introduction to Tensorflow </h2>
 
 <ul>
  <li> HTML:</li>

doc/web/tmp_mako__course.do.txt

@@ -75,7 +75,7 @@ The teaching material is produced in various formats for running codes (jupyter
    * "ipynb file": "https://compphysics.github.io/MachineLearning/doc/pub/week38/ipynb/week38.ipynb"
 
 
-===== Week 39 September 21-25: Logistic Regression and Gradient methods. Start Neural Networks =====
+===== Week 39 September 21-25: Logistic Regression and Gradient methods =====
 
 
 
@@ -87,7 +87,7 @@ The teaching material is produced in various formats for running codes (jupyter
    * "ipynb file": "https://compphysics.github.io/MachineLearning/doc/pub/week39/ipynb/week39.ipynb"
 
 
-===== Week 40 September 28 - October 2: Neural Networks, building a multi-layer Perceptron model =====
+===== Week 40 September 28 - October 2: Stochastic Gradient Descent and Neural Networks, starting to build a multi-layer Perceptron model =====
 
 
 
@@ -99,7 +99,7 @@ The teaching material is produced in various formats for running codes (jupyter
    * "ipynb file": "https://compphysics.github.io/MachineLearning/doc/pub/week40/ipynb/week40.ipynb"
 
 
-===== Week 41 October 5-9: Introduction to Tensorflow and deep learning (Convolutional Neural Networks and Recurrent Neural Networks) =====
+===== Week 41 October 5-9: Building a multi-layer perceptron code and introduction to Tensorflow =====