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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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