Plans for the week of May 12-16
Dear all, welcome back to FYS5429/9429. This is (sadly) our last week of lectures and the plan this week is to finish the discussion on codes for diffusion models from last week and then end our discussions with a presentation of Generalized adversarial networks (our last topic on generative models).
Plans for the week of May 12-16, 2025
Generative models.
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Summary from last week about diffusion models, mainly discussion of codes (see jupyter-notebook from the week of May 5-9)
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Generative Adversarial Networks, see https://lilianweng.github.io/posts/2017-08-20-gan/ for nice overview
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A summary of the course will be made available in the form of a video. The summary material can also be viewed at https://github.com/CompPhysics/AdvancedMachineLearning/tree/main/doc/pub/week17 in various formats (pdf, jupyter-notebook or html formats).
Readings
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Reading recommendation: Goodfellow et al, for GANs see sections 20.10-20.11
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For codes and background, see Raschka et al, Machine Learning with PyTorch and Scikit-Learn, chapter 17, see https://github.com/rasbt/python-machine-learning-book-3rd-edition/tree/master/ch17 for codes
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Babcock and Bali, Generative AI with Python and TensorFlow2, chapter 6 and codes at https://github.com/raghavbali/generative_ai_with_tensorflow/blob/master/Chapter_6/conditional_gan.ipynb
The jupyter-notebook is at https://github.com/CompPhysics/AdvancedMachineLearning/blob/main/doc/pub/week16/ipynb/week16.ipynb
Although our last lecture is on May 15, for those of you who are interested and have the possibility to do so, we will have our last session May 22. Then we will only focus on discussing the project. The session on May 22 starts at 1215pm and ends at 4pm. This session is in-person only but you can ask questions via zoom (we will keep the zoom -link open)
Best wishes to you all,
Edvin and Morten