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* Thursday: Building our own Feed-forward Neural Network and discussion of project 2.
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* "Video of lecture":"https://youtu.be/yzbxJI6LgL0"
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* Friday: Playing around with our own Feed-forward Neural Network and introduction to TensorFlow. Solving differential equations with neural networks.
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* "Video of lecture":"https://youtu.be/CPj4mh7M9no
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"
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Reading suggestions for both days: These notes, "Aurelien Geron's chapters 10-11":"https://github.com/CompPhysics/MachineLearning/blob/master/doc/Textbooks/TensorflowML.pdf".
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For a more in depth discussion on neural networks we recommend Goodfellow et al chapters 6 and 7. Bishop's chapter 5 on Neural Networks is an additional good read.
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