added links

Author: mhjensen

doc/pub/week10/html/week10-bs.html

@@ -338,9 +338,9 @@ <h2 id="plans-for-the-week-march-24-28" class="anchor">Plans for the week March
 <li> Overview of generative models</li>
 <li> Probability distributions and Markov Chain Monte Carlo simulations</li>
 <li> If we get time, we end the lecture  with Boltzmann machines and energy models</li>
-<li> Reading recommendation: Goodfellow et al chapters 16 and 18.1 and 18.2. Chapter 17 gives a background to Monte Carlo Markov Chains.
-<!-- o <a href="https://youtu.be/8s0QC1MvdYg" target="_self">Video of lecture</a> -->
-<!-- o <a href="https://github.com/CompPhysics/AdvancedMachineLearning/blob/main/doc/HandwrittenNotes/2024/NotesMarch19.pdf" target="_self">Whiteboard notes</a> --></li>
+<li> Reading recommendation: Goodfellow et al chapters 16 and 18.1 and 18.2. Chapter 17 gives a background to Monte Carlo Markov Chains.</li>
+<li> <a href="https://youtu.be/ez9SrGOTOjA" target="_self">Video of lecture</a></li>
+<li> <a href="https://github.com/CompPhysics/AdvancedMachineLearning/blob/main/doc/HandwrittenNotes/2025/NotesMarch27.pdf" target="_self">Whiteboard notes</a></li>
 </ol>
 </div>
 </div>

doc/pub/week10/html/week10-reveal.html

@@ -202,9 +202,9 @@ <h2 id="plans-for-the-week-march-24-28">Plans for the week March 24-28  </h2>
 <p><li> Overview of generative models</li>
 <p><li> Probability distributions and Markov Chain Monte Carlo simulations</li>
 <p><li> If we get time, we end the lecture  with Boltzmann machines and energy models</li>
-<p><li> Reading recommendation: Goodfellow et al chapters 16 and 18.1 and 18.2. Chapter 17 gives a background to Monte Carlo Markov Chains.
-<!-- o <a href="https://youtu.be/8s0QC1MvdYg" target="_blank">Video of lecture</a> -->
-<!-- o <a href="https://github.com/CompPhysics/AdvancedMachineLearning/blob/main/doc/HandwrittenNotes/2024/NotesMarch19.pdf" target="_blank">Whiteboard notes</a> --></li>
+<p><li> Reading recommendation: Goodfellow et al chapters 16 and 18.1 and 18.2. Chapter 17 gives a background to Monte Carlo Markov Chains.</li>
+<p><li> <a href="https://youtu.be/ez9SrGOTOjA" target="_blank">Video of lecture</a></li>
+<p><li> <a href="https://github.com/CompPhysics/AdvancedMachineLearning/blob/main/doc/HandwrittenNotes/2025/NotesMarch27.pdf" target="_blank">Whiteboard notes</a></li>
 </ol>
 </div>
 </section>

doc/pub/week10/html/week10-solarized.html

@@ -279,9 +279,9 @@ <h2 id="plans-for-the-week-march-24-28">Plans for the week March 24-28  </h2>
 <li> Overview of generative models</li>
 <li> Probability distributions and Markov Chain Monte Carlo simulations</li>
 <li> If we get time, we end the lecture  with Boltzmann machines and energy models</li>
-<li> Reading recommendation: Goodfellow et al chapters 16 and 18.1 and 18.2. Chapter 17 gives a background to Monte Carlo Markov Chains.
-<!-- o <a href="https://youtu.be/8s0QC1MvdYg" target="_blank">Video of lecture</a> -->
-<!-- o <a href="https://github.com/CompPhysics/AdvancedMachineLearning/blob/main/doc/HandwrittenNotes/2024/NotesMarch19.pdf" target="_blank">Whiteboard notes</a> --></li>
+<li> Reading recommendation: Goodfellow et al chapters 16 and 18.1 and 18.2. Chapter 17 gives a background to Monte Carlo Markov Chains.</li>
+<li> <a href="https://youtu.be/ez9SrGOTOjA" target="_blank">Video of lecture</a></li>
+<li> <a href="https://github.com/CompPhysics/AdvancedMachineLearning/blob/main/doc/HandwrittenNotes/2025/NotesMarch27.pdf" target="_blank">Whiteboard notes</a></li>
 </ol>
 </div>
 

doc/pub/week10/html/week10.html

@@ -356,9 +356,9 @@ <h2 id="plans-for-the-week-march-24-28">Plans for the week March 24-28  </h2>
 <li> Overview of generative models</li>
 <li> Probability distributions and Markov Chain Monte Carlo simulations</li>
 <li> If we get time, we end the lecture  with Boltzmann machines and energy models</li>
-<li> Reading recommendation: Goodfellow et al chapters 16 and 18.1 and 18.2. Chapter 17 gives a background to Monte Carlo Markov Chains.
-<!-- o <a href="https://youtu.be/8s0QC1MvdYg" target="_blank">Video of lecture</a> -->
-<!-- o <a href="https://github.com/CompPhysics/AdvancedMachineLearning/blob/main/doc/HandwrittenNotes/2024/NotesMarch19.pdf" target="_blank">Whiteboard notes</a> --></li>
+<li> Reading recommendation: Goodfellow et al chapters 16 and 18.1 and 18.2. Chapter 17 gives a background to Monte Carlo Markov Chains.</li>
+<li> <a href="https://youtu.be/ez9SrGOTOjA" target="_blank">Video of lecture</a></li>
+<li> <a href="https://github.com/CompPhysics/AdvancedMachineLearning/blob/main/doc/HandwrittenNotes/2025/NotesMarch27.pdf" target="_blank">Whiteboard notes</a></li>
 </ol>
 </div>