Free EECS 6322 deep learning course: visual path from transformers to diffusion models
CSProfKGD · x · 2026-10-25
The course page behind the 'BACKPROP' trailer is now live: EECS 6322, 'A Visual and Technical Journey Into Deep Learning,' covering neural networks, transformers, diffusion models and modern AI systems with visual intuition and math foundations. Prerequisites: Python, calculus, linear algebra, basic ML. Slide-animation videos are up now; fully narrated lectures arrive this winter, with curated textbooks and resources included.
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