Lec 14. Generative Models: Basics
Автор: MIT OpenCourseWare
Загружено: 2026-02-11
Просмотров: 496
Описание:
MIT 6.7960 Deep Learning, Fall 2024
Instructor: Phillip Isola
View the complete course: https://ocw.mit.edu/courses/6-7960-de...
YouTube Playlist: • MIT 6.7960 Deep Learning, Fall 2024
This video covers the basics of generative models, including density and energy models, sampling methods, GANs (Generative Adversarial Networks), autoregressive models, and diffusion models.
License: Creative Commons BY-NC-SA
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