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@@ -76,6 +76,9 @@ in addition to the lectures, we have often followed five main paths:
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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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- Link to video of lecture at https://youtu.be/9GmKWT2EFwQ
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- Link to whiteboard notes at https://github.com/CompPhysics/AdvancedMachineLearning/blob/main/doc/HandwrittenNotes/2025/NotesJanuary30.pdf
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## February 3-7
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- From neural networks to convolutional neural networks

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