@@ -139,16 +139,17 @@ https://github.com/CompPhysics/AdvancedMachineLearning/blob/main/doc/pub/week1/i
139139
140140## March 23-27: Generative models
141141- Summary of Autoencoders
142- - Monte Carlo methods and structured probabilistic models for deep learning
143- - Partition function and Boltzmann machines
144- - Boltzmann machines
142+ - Brief introductio to transformer, reading recommendation Raschka et al chapter 16
143+ - Introduction to generative methods
145144- Slides at https://github.com/CompPhysics/AdvancedMachineLearning/blob/main/doc/pub/week10/ipynb/week10.ipynb
146145- Reading recommendation: Goodfellow et al chapters 16-18
147- - Video of lecture and whiteboard notes to be added
146+ - Video of lecture at https://youtu.be/0M3PranWMJI
147+ - Whiteboard notes at https://github.com/CompPhysics/AdvancedMachineLearning/blob/main/doc/HandwrittenNotes/2026/Notesweek10.pdf
148148
149149## March 30- April 3: Public holiday, no lectures
150150
151151## April 6-10: Deep generative models, Boltzmann machines
152+ - Generative models, basic equations and survey of methods to be covered
152153- Restricted Boltzmann machines
153154- Reminder on Markov Chain Monte Carlo and Gibbs sampling
154155- Discussions of various Boltzmann machines
@@ -186,10 +187,10 @@ https://github.com/CompPhysics/AdvancedMachineLearning/blob/main/doc/pub/week1/i
186187
187188
188189## May 11-15: Discussion of projects and summary of course
189- - Summary slides at https://github.com/CompPhysics/AdvancedMachineLearning/blob/main/doc/pub/week16/ipynb/week16.ipynb
190+ - Thursday May 14 is a public holiday in Norway, no lecture
190191
191192## May 18-22: Discussion of projects
192-
193+ - Summary slides at https://github.com/CompPhysics/AdvancedMachineLearning/blob/main/doc/pub/week16/ipynb/week16.ipynb
193194
194195
195196## Recommended textbooks:
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