NewBeeNLP
NewBeeNLP
Nov 11, 2024 · Artificial Intelligence

Inside MIT’s Deep Generative Models Course: Topics, Schedule, and Resources

MIT’s 6.S978 Deep Generative Models seminar, taught by Associate Professor He Kaiming, offers graduate students a 15‑week deep dive into VAEs, autoregressive models, GANs, diffusion techniques, and cross‑disciplinary applications, with detailed weekly topics, required assignments, and publicly available lecture PDFs.

Deep Generative ModelsDiffusion ModelsGAN
0 likes · 5 min read
Inside MIT’s Deep Generative Models Course: Topics, Schedule, and Resources