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2025-10-20 17:35:54 +02:00
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 <li><p>Building our own Feed-forward Neural Network.</p></li>
 <li><p>Coding examples using Tensorflow/Keras and Pytorch examples. The Pytorch examples are adapted from Rashcka’s text, see chapters 11-13..</p></li>
 <li><p>Start discussions on how to use neural networks for solving  differential equations (ordinary and partial ones). This topic continues next week as well.</p></li>
+<li><p>Video of lecture at <a class="reference external" href="https://youtu.be/Gi6mzxAT0Ew">https://youtu.be/Gi6mzxAT0Ew</a></p></li>
+<li><p>Whiteboard notes at <a class="github reference external" href="https://github.com/CompPhysics/MachineLearning/blob/master/doc/HandWrittenNotes/2025/FYSSTKweek43.pdf">CompPhysics/MachineLearning</a></p></li>
 </ol>
-<!-- * Video of lecture at <https://youtu.be/vkBNTn-MLqs> -->
-<!-- * Whiteboard notes on solving differential equations at <https://github.com/CompPhysics/MachineLearning/blob/master/doc/HandWrittenNotes/2025/FYSSTKweek43.pdf> --></section>
+</section>
 <section id="exercises-and-lab-session-week-43">
 <h2>Exercises and lab session week 43<a class="headerlink" href="#exercises-and-lab-session-week-43" title="Link to this heading">#</a></h2>
 <p><strong>Lab sessions on Tuesday and Wednesday.</strong></p>