update week 42

Author: mhjensen

doc/pub/week42/html/._week42-bs000.html

@@ -9,8 +9,8 @@
 <meta http-equiv="Content-Type" content="text/html; charset=utf-8" />
 <meta name="generator" content="DocOnce: https://github.com/doconce/doconce/" />
 <meta name="viewport" content="width=device-width, initial-scale=1.0" />
-<meta name="description" content="Week 42 Constructing a Neural Network code with introduction to Tensor flow">
-<title>Week 42 Constructing a Neural Network code with introduction to Tensor flow</title>
+<meta name="description" content="Week 42 Constructing a Neural Network code with examples">
+<title>Week 42 Constructing a Neural Network code with examples</title>
 
 <!-- reveal.js: https://lab.hakim.se/reveal-js/ -->
 
@@ -168,7 +168,7 @@
 <section>
 <!-- ------------------- main content ---------------------- -->
 <center>
-<h1 style="text-align: center;">Week 42 Constructing a Neural Network code with introduction to Tensor flow</h1>
+<h1 style="text-align: center;">Week 42 Constructing a Neural Network code with examples</h1>
 </center>  <!-- document title -->
 
 <!-- author(s): Morten Hjorth-Jensen -->
@@ -184,35 +184,24 @@ <h1 style="text-align: center;">Week 42 Constructing a Neural Network code with
 </center>
 <br>
 <center>
-<h4>October 16-20, 2023</h4>
+<h4>October 14-18, 2024</h4>
 </center> <!-- date -->
 <br>
 
 
 <center style="font-size:80%">
-<!-- copyright --> &copy; 1999-2023, Morten Hjorth-Jensen. Released under CC Attribution-NonCommercial 4.0 license
+<!-- copyright --> &copy; 1999-2024, Morten Hjorth-Jensen. Released under CC Attribution-NonCommercial 4.0 license
 </center>
 </section>
 
 <section>
 <h2 id="plan-for-week-42">Plan for week 42 </h2>
+</section>
 
+<section>
+<h2 id="lecture-october-14-2024">Lecture October 14, 2024 </h2>
 <div class="alert alert-block alert-block alert-text-normal">
-<b>Material for the active learning sessions on Tuesday and Wednesday</b>
-<p>
-<ul>
-
-<p><li> 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</li>
-
-<p><li> Discussion of project 2</li>
-
-<p><li> <a href="https://www.youtube.com/watch?v=cWCebuNKrA8" target="_blank">See video on automatic differentiation from last year</a>. This video will be updated before Tuesday.</li> 
-</ul>
-</div>
-  
-
-<div class="alert alert-block alert-block alert-text-normal">
-<b>Material for the lecture on Thursday October 12, 2023</b>
+<b></b>
 <p>
 <ul>
 
@@ -247,7 +236,17 @@ <h2 id="plan-for-week-42">Plan for week 42 </h2>
 </section>
 
 <section>
-<h2 id="lecture-thursday-october-19">Lecture Thursday October 19 </h2>
+<h2 id="material-for-the-active-learning-sessions-on-tuesday-and-wednesday">Material for the active learning sessions on Tuesday and Wednesday </h2>
+<div class="alert alert-block alert-block alert-text-normal">
+<b></b>
+<p>
+<ul>
+
+<p><li> 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</li>
+
+<p><li> Discussion of project 2</li>
+</ul>
+</div>
 </section>
 
 <section>

doc/pub/week42/html/._week42-bs001.html

@@ -8,8 +8,8 @@
 <meta http-equiv="Content-Type" content="text/html; charset=utf-8" />
 <meta name="generator" content="DocOnce: https://github.com/doconce/doconce/" />
 <meta name="viewport" content="width=device-width, initial-scale=1.0" />
-<meta name="description" content="Week 42 Constructing a Neural Network code with introduction to Tensor flow">
-<title>Week 42 Constructing a Neural Network code with introduction to Tensor flow</title>
+<meta name="description" content="Week 42 Constructing a Neural Network code with examples">
+<title>Week 42 Constructing a Neural Network code with examples</title>
 <link href="https://cdn.rawgit.com/doconce/doconce/master/bundled/html_styles/style_solarized_box/css/solarized_light_code.css" rel="stylesheet" type="text/css" title="light"/>
 <script src="https://cdn.rawgit.com/doconce/doconce/master/bundled/html_styles/style_solarized_box/js/highlight.pack.js"></script>
 <script>hljs.initHighlightingOnLoad();</script>
@@ -64,10 +64,12 @@
 <!-- tocinfo
 {'highest level': 2,
  'sections': [('Plan for week 42', 2, None, 'plan-for-week-42'),
-              ('Lecture Thursday October 19',
+              ('Lecture October 14, 2024', 2, None, 'lecture-october-14-2024'),
+              ('Material for the active learning sessions on Tuesday and '
+               'Wednesday',
                2,
                None,
-               'lecture-thursday-october-19'),
+               'material-for-the-active-learning-sessions-on-tuesday-and-wednesday'),
               ('Review of the back propagation algorithm',
                2,
                None,
@@ -226,7 +228,7 @@
 
 <!-- ------------------- main content ---------------------- -->
 <center>
-<h1>Week 42 Constructing a Neural Network code with introduction to Tensor flow</h1>
+<h1>Week 42 Constructing a Neural Network code with examples</h1>
 </center>  <!-- document title -->
 
 <!-- author(s): Morten Hjorth-Jensen -->
@@ -242,26 +244,17 @@ <h1>Week 42 Constructing a Neural Network code with introduction to Tensor flow<
 </center>
 <br>
 <center>
-<h4>October 16-20, 2023</h4>
+<h4>October 14-18, 2024</h4>
 </center> <!-- date -->
 <br>
 
 <!-- !split --><br><br><br><br><br><br><br><br><br><br>
 <h2 id="plan-for-week-42">Plan for week 42 </h2>
 
+<!-- !split --><br><br><br><br><br><br><br><br><br><br>
+<h2 id="lecture-october-14-2024">Lecture October 14, 2024 </h2>
 <div class="alert alert-block alert-block alert-text-normal">
-<b>Material for the active learning sessions on Tuesday and Wednesday</b>
-<p>
-<ul>
-  <li> 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</li>
-  <li> Discussion of project 2</li>
-  <li> <a href="https://www.youtube.com/watch?v=cWCebuNKrA8" target="_blank">See video on automatic differentiation from last year</a>. This video will be updated before Tuesday.</li> 
-</ul>
-</div>
-  
-
-<div class="alert alert-block alert-block alert-text-normal">
-<b>Material for the lecture on Thursday October 12, 2023</b>
+<b></b>
 <p>
 <ul>
   <li> Building our own Feed-forward Neural Network and discussion of project 2</li>
@@ -283,7 +276,16 @@ <h2 id="plan-for-week-42">Plan for week 42 </h2>
 
 
 <!-- !split --><br><br><br><br><br><br><br><br><br><br>
-<h2 id="lecture-thursday-october-19">Lecture Thursday October 19 </h2>
+<h2 id="material-for-the-active-learning-sessions-on-tuesday-and-wednesday">Material for the active learning sessions on Tuesday and Wednesday </h2>
+<div class="alert alert-block alert-block alert-text-normal">
+<b></b>
+<p>
+<ul>
+  <li> 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</li>
+  <li> Discussion of project 2</li>
+</ul>
+</div>
+  
 
 <!-- !split --><br><br><br><br><br><br><br><br><br><br>
 <h2 id="review-of-the-back-propagation-algorithm">Review of the back propagation algorithm </h2>
@@ -2707,7 +2709,7 @@ <h2 id="limitations-of-supervised-learning-with-deep-networks">Limitations of su
 
 <!-- ------------------- end of main content --------------- -->
 <center style="font-size:80%">
-<!-- copyright --> &copy; 1999-2023, Morten Hjorth-Jensen. Released under CC Attribution-NonCommercial 4.0 license
+<!-- copyright --> &copy; 1999-2024, Morten Hjorth-Jensen. Released under CC Attribution-NonCommercial 4.0 license
 </center>
 </body>
 </html>

doc/pub/week42/html/._week42-bs002.html

@@ -8,8 +8,8 @@
 <meta http-equiv="Content-Type" content="text/html; charset=utf-8" />
 <meta name="generator" content="DocOnce: https://github.com/doconce/doconce/" />
 <meta name="viewport" content="width=device-width, initial-scale=1.0" />
-<meta name="description" content="Week 42 Constructing a Neural Network code with introduction to Tensor flow">
-<title>Week 42 Constructing a Neural Network code with introduction to Tensor flow</title>
+<meta name="description" content="Week 42 Constructing a Neural Network code with examples">
+<title>Week 42 Constructing a Neural Network code with examples</title>
 <style type="text/css">
 /* bloodish style */
 body {
@@ -141,10 +141,12 @@
 <!-- tocinfo
 {'highest level': 2,
  'sections': [('Plan for week 42', 2, None, 'plan-for-week-42'),
-              ('Lecture Thursday October 19',
+              ('Lecture October 14, 2024', 2, None, 'lecture-october-14-2024'),
+              ('Material for the active learning sessions on Tuesday and '
+               'Wednesday',
                2,
                None,
-               'lecture-thursday-october-19'),
+               'material-for-the-active-learning-sessions-on-tuesday-and-wednesday'),
               ('Review of the back propagation algorithm',
                2,
                None,
@@ -303,7 +305,7 @@
 
 <!-- ------------------- main content ---------------------- -->
 <center>
-<h1>Week 42 Constructing a Neural Network code with introduction to Tensor flow</h1>
+<h1>Week 42 Constructing a Neural Network code with examples</h1>
 </center>  <!-- document title -->
 
 <!-- author(s): Morten Hjorth-Jensen -->
@@ -319,26 +321,17 @@ <h1>Week 42 Constructing a Neural Network code with introduction to Tensor flow<
 </center>
 <br>
 <center>
-<h4>October 16-20, 2023</h4>
+<h4>October 14-18, 2024</h4>
 </center> <!-- date -->
 <br>
 
 <!-- !split --><br><br><br><br><br><br><br><br><br><br>
 <h2 id="plan-for-week-42">Plan for week 42 </h2>
 
+<!-- !split --><br><br><br><br><br><br><br><br><br><br>
+<h2 id="lecture-october-14-2024">Lecture October 14, 2024 </h2>
 <div class="alert alert-block alert-block alert-text-normal">
-<b>Material for the active learning sessions on Tuesday and Wednesday</b>
-<p>
-<ul>
-  <li> 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</li>
-  <li> Discussion of project 2</li>
-  <li> <a href="https://www.youtube.com/watch?v=cWCebuNKrA8" target="_blank">See video on automatic differentiation from last year</a>. This video will be updated before Tuesday.</li> 
-</ul>
-</div>
-  
-
-<div class="alert alert-block alert-block alert-text-normal">
-<b>Material for the lecture on Thursday October 12, 2023</b>
+<b></b>
 <p>
 <ul>
   <li> Building our own Feed-forward Neural Network and discussion of project 2</li>
@@ -360,7 +353,16 @@ <h2 id="plan-for-week-42">Plan for week 42 </h2>
 
 
 <!-- !split --><br><br><br><br><br><br><br><br><br><br>
-<h2 id="lecture-thursday-october-19">Lecture Thursday October 19 </h2>
+<h2 id="material-for-the-active-learning-sessions-on-tuesday-and-wednesday">Material for the active learning sessions on Tuesday and Wednesday </h2>
+<div class="alert alert-block alert-block alert-text-normal">
+<b></b>
+<p>
+<ul>
+  <li> 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</li>
+  <li> Discussion of project 2</li>
+</ul>
+</div>
+  
 
 <!-- !split --><br><br><br><br><br><br><br><br><br><br>
 <h2 id="review-of-the-back-propagation-algorithm">Review of the back propagation algorithm </h2>
@@ -2784,7 +2786,7 @@ <h2 id="limitations-of-supervised-learning-with-deep-networks">Limitations of su
 
 <!-- ------------------- end of main content --------------- -->
 <center style="font-size:80%">
-<!-- copyright --> &copy; 1999-2023, Morten Hjorth-Jensen. Released under CC Attribution-NonCommercial 4.0 license
+<!-- copyright --> &copy; 1999-2024, Morten Hjorth-Jensen. Released under CC Attribution-NonCommercial 4.0 license
 </center>
 </body>
 </html>