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@@ -339,7 +339,9 @@ MathJax.Hub.Config({
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<!-- subsequent paragraphs come in larger fonts, so start with a paragraph -->
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<ul>
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<li> Stochastic Gradient descent with examples and automatic differentiation</li>
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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> Neural Networks, setting up the basic steps, from the simple perceptron model to the multi-layer perceptron model.</li>
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<li> <a href="https://youtu.be/75pr3hKY20U" target="_self">Video of lecture</a></li>
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<li> "Whiteboard notes at <a href="https://github.com/CompPhysics/MachineLearning/blob/master/doc/HandWrittenNotes/2023/NotesOct5.pdf" target="_self"><tt>https://github.com/CompPhysics/MachineLearning/blob/master/doc/HandWrittenNotes/2023/NotesOct5.pdf</tt></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> 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> <a href="https://youtu.be/75pr3hKY20U" target="_blank">Video of lecture</a></li>
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<p><li> "Whiteboard notes at <a href="https://github.com/CompPhysics/MachineLearning/blob/master/doc/HandWrittenNotes/2023/NotesOct5.pdf" target="_blank"><tt>https://github.com/CompPhysics/MachineLearning/blob/master/doc/HandWrittenNotes/2023/NotesOct5.pdf</tt></a></li>
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<p><li> Readings and Videos:</li>
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<ul>
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@@ -295,7 +295,9 @@ MathJax.Hub.Config({
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<p>
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<ul>
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<li> Stochastic Gradient descent with examples and automatic differentiation</li>
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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> Neural Networks, setting up the basic steps, from the simple perceptron model to the multi-layer perceptron model.</li>
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<li> <a href="https://youtu.be/75pr3hKY20U" target="_blank">Video of lecture</a></li>
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<li> "Whiteboard notes at <a href="https://github.com/CompPhysics/MachineLearning/blob/master/doc/HandWrittenNotes/2023/NotesOct5.pdf" target="_blank"><tt>https://github.com/CompPhysics/MachineLearning/blob/master/doc/HandWrittenNotes/2023/NotesOct5.pdf</tt></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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@@ -372,7 +372,9 @@ MathJax.Hub.Config({
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<p>
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<ul>
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<li> Stochastic Gradient descent with examples and automatic differentiation</li>
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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> Neural Networks, setting up the basic steps, from the simple perceptron model to the multi-layer perceptron model.</li>
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<li> <a href="https://youtu.be/75pr3hKY20U" target="_blank">Video of lecture</a></li>
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<li> "Whiteboard notes at <a href="https://github.com/CompPhysics/MachineLearning/blob/master/doc/HandWrittenNotes/2023/NotesOct5.pdf" target="_blank"><tt>https://github.com/CompPhysics/MachineLearning/blob/master/doc/HandWrittenNotes/2023/NotesOct5.pdf</tt></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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