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doc/pub/week41/html/week41-bs.html

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@@ -453,9 +453,9 @@ <h2 id="plan-for-week-41-october-6-10" class="anchor">Plan for week 41, October
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<h2 id="material-for-the-lecture-on-monday-october-6-2025" class="anchor">Material for the lecture on Monday October 6, 2025 </h2>
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<ol>
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<li> Neural Networks, setting up the basic steps, from the simple perceptron model to the multi-layer perceptron model.</li>
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<li> Building our own Feed-forward Neural Network, getting started
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<!-- * Video of lecture notes at URL:"" -->
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<!-- * Whiteboard notes at <a href="https://github.com/CompPhysics/MachineLearning/blob/master/doc/HandWrittenNotes/2025/FYSSTKweek41.pdf" target="_self"><tt>https://github.com/CompPhysics/MachineLearning/blob/master/doc/HandWrittenNotes/2025/FYSSTKweek41.pdf</tt></a> --></li>
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<li> Building our own Feed-forward Neural Network, getting started</li>
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<li> Video of lecture notes at <a href="https://youtu.be/96Pe6O9Wn6g" target="_self"><tt>https://youtu.be/96Pe6O9Wn6g</tt></a></li>
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<li> Whiteboard notes at <a href="https://github.com/CompPhysics/MachineLearning/blob/master/doc/HandWrittenNotes/2025/FYSSTKweek41.pdf" target="_self"><tt>https://github.com/CompPhysics/MachineLearning/blob/master/doc/HandWrittenNotes/2025/FYSSTKweek41.pdf</tt></a></li>
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</ol>
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<!-- !split -->
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<h2 id="readings-and-videos" class="anchor">Readings and Videos: </h2>

doc/pub/week41/html/week41-reveal.html

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<h2 id="material-for-the-lecture-on-monday-october-6-2025">Material for the lecture on Monday October 6, 2025 </h2>
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<ol>
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<p><li> Neural Networks, setting up the basic steps, from the simple perceptron model to the multi-layer perceptron model.</li>
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<p><li> Building our own Feed-forward Neural Network, getting started
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<!-- * Video of lecture notes at URL:"" -->
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<!-- * Whiteboard notes at <a href="https://github.com/CompPhysics/MachineLearning/blob/master/doc/HandWrittenNotes/2025/FYSSTKweek41.pdf" target="_blank"><tt>https://github.com/CompPhysics/MachineLearning/blob/master/doc/HandWrittenNotes/2025/FYSSTKweek41.pdf</tt></a> --></li>
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<p><li> Building our own Feed-forward Neural Network, getting started</li>
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<p><li> Video of lecture notes at <a href="https://youtu.be/96Pe6O9Wn6g" target="_blank"><tt>https://youtu.be/96Pe6O9Wn6g</tt></a></li>
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<p><li> Whiteboard notes at <a href="https://github.com/CompPhysics/MachineLearning/blob/master/doc/HandWrittenNotes/2025/FYSSTKweek41.pdf" target="_blank"><tt>https://github.com/CompPhysics/MachineLearning/blob/master/doc/HandWrittenNotes/2025/FYSSTKweek41.pdf</tt></a></li>
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</ol>
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</section>
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doc/pub/week41/html/week41-solarized.html

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@@ -367,9 +367,9 @@ <h2 id="plan-for-week-41-october-6-10">Plan for week 41, October 6-10 </h2>
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<h2 id="material-for-the-lecture-on-monday-october-6-2025">Material for the lecture on Monday October 6, 2025 </h2>
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<ol>
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<li> Neural Networks, setting up the basic steps, from the simple perceptron model to the multi-layer perceptron model.</li>
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<li> Building our own Feed-forward Neural Network, getting started
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<!-- * Video of lecture notes at URL:"" -->
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<!-- * Whiteboard notes at <a href="https://github.com/CompPhysics/MachineLearning/blob/master/doc/HandWrittenNotes/2025/FYSSTKweek41.pdf" target="_blank"><tt>https://github.com/CompPhysics/MachineLearning/blob/master/doc/HandWrittenNotes/2025/FYSSTKweek41.pdf</tt></a> --></li>
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<li> Building our own Feed-forward Neural Network, getting started</li>
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<li> Video of lecture notes at <a href="https://youtu.be/96Pe6O9Wn6g" target="_blank"><tt>https://youtu.be/96Pe6O9Wn6g</tt></a></li>
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<li> Whiteboard notes at <a href="https://github.com/CompPhysics/MachineLearning/blob/master/doc/HandWrittenNotes/2025/FYSSTKweek41.pdf" target="_blank"><tt>https://github.com/CompPhysics/MachineLearning/blob/master/doc/HandWrittenNotes/2025/FYSSTKweek41.pdf</tt></a></li>
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</ol>
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<!-- !split --><br><br><br><br><br><br><br><br><br><br>
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<h2 id="readings-and-videos">Readings and Videos: </h2>

doc/pub/week41/html/week41.html

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<h2 id="material-for-the-lecture-on-monday-october-6-2025">Material for the lecture on Monday October 6, 2025 </h2>
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<ol>
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<li> Neural Networks, setting up the basic steps, from the simple perceptron model to the multi-layer perceptron model.</li>
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<li> Building our own Feed-forward Neural Network, getting started
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<!-- * Video of lecture notes at URL:"" -->
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<!-- * Whiteboard notes at <a href="https://github.com/CompPhysics/MachineLearning/blob/master/doc/HandWrittenNotes/2025/FYSSTKweek41.pdf" target="_blank"><tt>https://github.com/CompPhysics/MachineLearning/blob/master/doc/HandWrittenNotes/2025/FYSSTKweek41.pdf</tt></a> --></li>
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<li> Building our own Feed-forward Neural Network, getting started</li>
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<li> Video of lecture notes at <a href="https://youtu.be/96Pe6O9Wn6g" target="_blank"><tt>https://youtu.be/96Pe6O9Wn6g</tt></a></li>
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<li> Whiteboard notes at <a href="https://github.com/CompPhysics/MachineLearning/blob/master/doc/HandWrittenNotes/2025/FYSSTKweek41.pdf" target="_blank"><tt>https://github.com/CompPhysics/MachineLearning/blob/master/doc/HandWrittenNotes/2025/FYSSTKweek41.pdf</tt></a></li>
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</ol>
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<!-- !split --><br><br><br><br><br><br><br><br><br><br>
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<h2 id="readings-and-videos">Readings and Videos: </h2>
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