update week 2

Author: mhjensen

doc/pub/week2/html/week2-bs.html

@@ -335,9 +335,9 @@ <h2 id="overview-of-second-week-january-22-26" class="anchor">Overview of second
 <!-- subsequent paragraphs come in larger fonts, so start with a paragraph -->
 <ol>
  <li> Mathematics of neural networks</li>
- <li> Writing own code (bring back to life your NN code)</li>
- <li> Discussion of first data set and paths for project 1
-<!-- o <a href="https://youtu.be/SEYuOoMws_k" target="_self">Link to video of lecture</a> -->
+ <li> Writing own code (bring back to life your NN code if you have one)</li>
+ <li> Discussion of project alternatives</li>
+ <li> <a href="https://youtu.be/" target="_self">Link to video of lecture to be added</a>
 <!-- o <a href="https://github.com/CompPhysics/AdvancedMachineLearning/blob/main/doc/HandwrittenNotes/2024/NotesJanuary23.pdf" target="_self">Link to whiteboard notes</a> --></li>
 </ol>
 </div>
@@ -1263,7 +1263,7 @@ <h2 id="more-limitations" class="anchor">More limitations </h2>
 </footer>
 -->
 <center style="font-size:80%">
-<!-- copyright --> &copy; 1999-2024, Morten Hjorth-Jensen. Released under CC Attribution-NonCommercial 4.0 license
+<!-- copyright --> &copy; 1999-2025, Morten Hjorth-Jensen. Released under CC Attribution-NonCommercial 4.0 license
 </center>
 </body>
 </html>

doc/pub/week2/html/week2-reveal.html

@@ -190,7 +190,7 @@ <h4>January 23, 2025</h4>
 
 
 <center style="font-size:80%">
-<!-- copyright --> &copy; 1999-2024, Morten Hjorth-Jensen. Released under CC Attribution-NonCommercial 4.0 license
+<!-- copyright --> &copy; 1999-2025, Morten Hjorth-Jensen. Released under CC Attribution-NonCommercial 4.0 license
 </center>
 </section>
 
@@ -202,9 +202,9 @@ <h2 id="overview-of-second-week-january-22-26">Overview of second  week, January
 <p>
 <ol>
  <p><li> Mathematics of neural networks</li>
- <p><li> Writing own code (bring back to life your NN code)</li>
- <p><li> Discussion of first data set and paths for project 1
-<!-- o <a href="https://youtu.be/SEYuOoMws_k" target="_blank">Link to video of lecture</a> -->
+ <p><li> Writing own code (bring back to life your NN code if you have one)</li>
+ <p><li> Discussion of project alternatives</li>
+ <p><li> <a href="https://youtu.be/" target="_blank">Link to video of lecture to be added</a>
 <!-- o <a href="https://github.com/CompPhysics/AdvancedMachineLearning/blob/main/doc/HandwrittenNotes/2024/NotesJanuary23.pdf" target="_blank">Link to whiteboard notes</a> --></li>
 </ol>
 </div>

doc/pub/week2/html/week2-solarized.html

@@ -280,9 +280,9 @@ <h2 id="overview-of-second-week-january-22-26">Overview of second  week, January
 <p>
 <ol>
  <li> Mathematics of neural networks</li>
- <li> Writing own code (bring back to life your NN code)</li>
- <li> Discussion of first data set and paths for project 1
-<!-- o <a href="https://youtu.be/SEYuOoMws_k" target="_blank">Link to video of lecture</a> -->
+ <li> Writing own code (bring back to life your NN code if you have one)</li>
+ <li> Discussion of project alternatives</li>
+ <li> <a href="https://youtu.be/" target="_blank">Link to video of lecture to be added</a>
 <!-- o <a href="https://github.com/CompPhysics/AdvancedMachineLearning/blob/main/doc/HandwrittenNotes/2024/NotesJanuary23.pdf" target="_blank">Link to whiteboard notes</a> --></li>
 </ol>
 </div>
@@ -1193,7 +1193,7 @@ <h2 id="more-limitations">More limitations </h2>
 <p>Some of these remarks are particular to DNNs, others are shared by all supervised learning methods. This motivates the use of unsupervised methods which in part circumvent these problems.</p>
 <!-- ------------------- end of main content --------------- -->
 <center style="font-size:80%">
-<!-- copyright --> &copy; 1999-2024, Morten Hjorth-Jensen. Released under CC Attribution-NonCommercial 4.0 license
+<!-- copyright --> &copy; 1999-2025, Morten Hjorth-Jensen. Released under CC Attribution-NonCommercial 4.0 license
 </center>
 </body>
 </html>

doc/pub/week2/html/week2.html

@@ -357,9 +357,9 @@ <h2 id="overview-of-second-week-january-22-26">Overview of second  week, January
 <p>
 <ol>
  <li> Mathematics of neural networks</li>
- <li> Writing own code (bring back to life your NN code)</li>
- <li> Discussion of first data set and paths for project 1
-<!-- o <a href="https://youtu.be/SEYuOoMws_k" target="_blank">Link to video of lecture</a> -->
+ <li> Writing own code (bring back to life your NN code if you have one)</li>
+ <li> Discussion of project alternatives</li>
+ <li> <a href="https://youtu.be/" target="_blank">Link to video of lecture to be added</a>
 <!-- o <a href="https://github.com/CompPhysics/AdvancedMachineLearning/blob/main/doc/HandwrittenNotes/2024/NotesJanuary23.pdf" target="_blank">Link to whiteboard notes</a> --></li>
 </ol>
 </div>
@@ -1270,7 +1270,7 @@ <h2 id="more-limitations">More limitations </h2>
 <p>Some of these remarks are particular to DNNs, others are shared by all supervised learning methods. This motivates the use of unsupervised methods which in part circumvent these problems.</p>
 <!-- ------------------- end of main content --------------- -->
 <center style="font-size:80%">
-<!-- copyright --> &copy; 1999-2024, Morten Hjorth-Jensen. Released under CC Attribution-NonCommercial 4.0 license
+<!-- copyright --> &copy; 1999-2025, Morten Hjorth-Jensen. Released under CC Attribution-NonCommercial 4.0 license
 </center>
 </body>
 </html>