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@@ -513,6 +513,7 @@ MathJax.Hub.Config({
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<li> Building our own Feed-forward Neural Network and discussion of project 2, continuation from last week</li>
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<li> Solving differential equations with Neural Networks and intro to <b>Tensorflow</b> with examples.</li>
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<li> <a href="https://youtu.be/_-AwbBh4G-8" target="_self">Video of lecture</a></li>
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<li> <a href="https://github.com/CompPhysics/MachineLearning/blob/master/doc/HandWrittenNotes/2023/NotesOct26.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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@@ -224,6 +224,8 @@ MathJax.Hub.Config({
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<p><li> <a href="https://youtu.be/_-AwbBh4G-8" target="_blank">Video of lecture</a></li>
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<p><li> <a href="https://github.com/CompPhysics/MachineLearning/blob/master/doc/HandWrittenNotes/2023/NotesOct26.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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@@ -406,6 +406,7 @@ MathJax.Hub.Config({
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<li> Building our own Feed-forward Neural Network and discussion of project 2, continuation from last week</li>
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<li> Solving differential equations with Neural Networks and intro to <b>Tensorflow</b> with examples.</li>
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<li> <a href="https://youtu.be/_-AwbBh4G-8" target="_blank">Video of lecture</a></li>
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<li> <a href="https://github.com/CompPhysics/MachineLearning/blob/master/doc/HandWrittenNotes/2023/NotesOct26.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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@@ -483,6 +483,7 @@ MathJax.Hub.Config({
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<li> Building our own Feed-forward Neural Network and discussion of project 2, continuation from last week</li>
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<li> Solving differential equations with Neural Networks and intro to <b>Tensorflow</b> with examples.</li>
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<li> <a href="https://youtu.be/_-AwbBh4G-8" target="_blank">Video of lecture</a></li>
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<li> <a href="https://github.com/CompPhysics/MachineLearning/blob/master/doc/HandWrittenNotes/2023/NotesOct26.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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@@ -16,6 +16,7 @@ DATE: today
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* Building our own Feed-forward Neural Network and discussion of project 2, continuation from last week
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* Solving differential equations with Neural Networks and intro to _Tensorflow_ with examples.
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* "Video of lecture":"https://youtu.be/_-AwbBh4G-8"
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* "Whiteboard notes":"https://github.com/CompPhysics/MachineLearning/blob/master/doc/HandWrittenNotes/2023/NotesOct26.pdf"
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* Readings and Videos:
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* These lecture notes
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* "Aurelien Geron's chapters 10-11":"https://github.com/CompPhysics/MachineLearning/blob/master/doc/Textbooks/TensorflowML.pdf"
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