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@@ -73,11 +73,13 @@ in addition to the lectures, we have often followed five main paths:
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- Presentation of course and overview
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- Discussion of possible projects
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- Deep learning, neural networks, basic equations
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- Mathematics of deep learning, basics of neural networks and writing a neural network code
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- Slides at https://github.com/CompPhysics/AdvancedMachineLearning/blob/main/doc/pub/week1/ipynb/week1.ipynb
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- Recommended reading Goodfellow et al chapters 6 and 7 and Raschka chapter 11
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- Video of lecture at https://youtu.be/
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## January 26-30
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- Mathematics of deep learning, basics of neural networks and writing a neural network code
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- Slides at https://github.com/CompPhysics/AdvancedMachineLearning/blob/main/doc/pub/week2/ipynb/week2.ipynb
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- Recommended reading Goodfellow et al chapters 6 and 7 and Raschka et al chapter 11. For Pytorch see Raschka et al chapter 12.

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