MIT 6.S191 (2021): Introduction to Deep Learning
Deep Generative Modeling
Lecturer: Ava Soleimany
January 2021

For all lectures, slides, and lab materials: http://introtodeeplearning.com​

Lecture Outline
0:00​ - Introduction
6:03 - Why care about generative models?
8:56​ - Latent variable models
11:31​ - Autoencoders
17:00​ - Variational autoencoders
24:30 - Priors on the latent distribution
34:38​ - Reparameterization trick
38:14​ - Latent perturbation and disentanglement
41:25 - Debiasing with VAEs
43:42​ - Generative adversarial networks
46:14​ - Intuitions behind GANs
48:27 - Training GANs
52:57 - GANs: Recent advances
57:15 - CycleGAN of unpaired translation
1:01:01​ - Summary

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