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mhjensen committed Dec 11, 2023
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Expand Up @@ -34,15 +34,17 @@ Slides at https://github.com/CompPhysics/AdvancedMachineLearning/blob/main/doc/p

## January 22-26
- Mathematics of deep learning, basics of neural networks
- Introducing TensorFlow and Pytorch
- Slides at https://github.com/CompPhysics/AdvancedMachineLearning/blob/main/doc/pub/week2/ipynb/week2.ipynb
- Recommended reading Goodfellow et al chapters 6 and 7
- Recommended reading Goodfellow et al chapters 6 and 7. For Pytorch see Raschka et al chapter 11.


## January 29-February 2
- Implementing neural networks with applications to differential equations
- Discussion of first project
- More on TensorFlow and Pytorch
- Slides at https://github.com/CompPhysics/AdvancedMachineLearning/blob/main/doc/pub/week3/ipynb/week3.ipynb

- Recommended reading Goodfellow et al chapters 6 and 7. For Pytorch see Raschka et al chapter 11.

## February 5-9
- Convolutional neural networks (CNNs), basic mathematics
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