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- Lecture Thursday: Stochastic gradient descent, automatic differentiation and start discussion of feed-forward Neural Network code for regression and classification
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- Video of Lecture at https://youtu.be/sCHiGSoG2lE
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- Lecture Friday: Deep Learning and Neural Networks: the back propagation algorithm
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- Video of Lecture at
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- Video of Lecture at https://youtu.be/hDTtA7PRRfI
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- Reading recommendations:
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- See lecture notes for week 40 at https://compphysics.github.io/MachineLearning/doc/web/course.html.
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- For neural networks we recommend Goodfellow et al chapters 6 and 7 and Bishop 5.1-5.4
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