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README.md

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@@ -133,11 +133,12 @@ https://github.com/CompPhysics/AdvancedMachineLearning/blob/main/doc/pub/week1/i
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## March 16-20: Autoencoders
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- Autoencoders and links with Principal Component Analysis. Discussion of AE implementations
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- Slides at https://github.com/CompPhysics/AdvancedMachineLearning/blob/main/doc/pub/week9/ipynb/week9.ipynb- Reading recommendation: Goodfellow et al chapter 14
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- Video of Lecture at https://youtu.be/p98uDIzO-us
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- Video of Lecture at https://youtu.be/hdDKlQUkPsY
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- Whiteboard notes at https://github.com/CompPhysics/AdvancedMachineLearning/blob/main/doc/HandwrittenNotes/2026/Notesweek9.pdf
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## March 23-27: Generative models
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- Summary of Autoencoders
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- Monte Carlo methods and structured probabilistic models for deep learning
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- Partition function and Boltzmann machines
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- Boltzmann machines

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