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@@ -348,6 +348,8 @@ MathJax.Hub.Config({
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<ul>
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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</li>
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<li> <a href="https://youtu.be/5-RRTO9uDvI" target="_self">Video of lecture notes</a></li>
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<li> <a href="https://github.com/CompPhysics/MachineLearning/blob/master/doc/HandWrittenNotes/2023/NotesOct12.pdf" target="_self">Whiteboard notes</a></li>
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<li> Readings and Videos:</li>
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<ul>
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<li> These lecture notes</li>
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@@ -222,6 +222,10 @@ MathJax.Hub.Config({
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<p><li> Building our own Feed-forward Neural Network</li>
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<p><li> <a href="https://youtu.be/5-RRTO9uDvI" target="_blank">Video of lecture notes</a></li>
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<p><li> <a href="https://github.com/CompPhysics/MachineLearning/blob/master/doc/HandWrittenNotes/2023/NotesOct12.pdf" target="_blank">Whiteboard notes</a></li>
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<p><li> Readings and Videos:</li>
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<ul>
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@@ -305,6 +305,8 @@ MathJax.Hub.Config({
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<ul>
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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</li>
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<li> <a href="https://youtu.be/5-RRTO9uDvI" target="_blank">Video of lecture notes</a></li>
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<li> <a href="https://github.com/CompPhysics/MachineLearning/blob/master/doc/HandWrittenNotes/2023/NotesOct12.pdf" target="_blank">Whiteboard notes</a></li>
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<li> Readings and Videos:</li>
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<ul>
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<li> These lecture notes</li>
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@@ -382,6 +382,8 @@ MathJax.Hub.Config({
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<ul>
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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</li>
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<li> <a href="https://youtu.be/5-RRTO9uDvI" target="_blank">Video of lecture notes</a></li>
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<li> <a href="https://github.com/CompPhysics/MachineLearning/blob/master/doc/HandWrittenNotes/2023/NotesOct12.pdf" target="_blank">Whiteboard notes</a></li>
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<li> Readings and Videos:</li>
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<ul>
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<li> These lecture notes</li>
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@@ -17,6 +17,8 @@ DATE: Week 41
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!bblock Material for the lecture on Thursday October 12, 2023
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* Neural Networks, setting up the basic steps, from the simple perceptron model to the multi-layer perceptron model.
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* Building our own Feed-forward Neural Network
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* "Video of lecture notes":"https://youtu.be/5-RRTO9uDvI"
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* "Whiteboard notes":"https://github.com/CompPhysics/MachineLearning/blob/master/doc/HandWrittenNotes/2023/NotesOct12.pdf"
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* Readings and Videos:
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* These lecture notes
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* For neural networks we recommend Goodfellow et al chapter 6.
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