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152152## April 7-11: Deep generative models
153- - Implementation of Boltzmann machines using TensorFlow and Pytorch
154- - Energy-based models and Langevin sampling
155- - Start discussions of Vvariational Autoencoders
153+ - Reminder from previous week on Energy-based models and Langevin sampling
154+ - Variational Autoencoders
156155- Reading recommendation: Goodfellow et al chapters 18.1-18.2, 20.1-20-7; To create Boltzmann machine using Keras, see Babcock and Bali chapter 4
157156- See also Foster, chapter 7 on energy-based models
157+ - Video of lecture at https://youtu.be/Mm9Xasy8qNw
158+ - Whiteboard notes at https://github.com/CompPhysics/AdvancedMachineLearning/blob/main/doc/HandwrittenNotes/2025/NotesApril10.pdf
158159
159160## April 14-18: Public holiday, no lectures
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