MIT 6.S191 (2020): Deep Generative Modeling

MIT 6.S191 (2020): Introduction to Deep Learning
Deep Generative Modeling
Lecturer: Ava Soleimany
January 2020

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

Lecture Outline
0:00 – Introduction
4:37 – Why do we care?
6:36 – Latent variable models
8:12 – Autoencoders
13:30 – Variational autoencoders
20:18 – Reparameterization trick
23:55 – Latent pertubation
26:12 – Debiasing with VAEs
30:40 – Generative adversarial networks
32:40 – Intuitions behind GANs
35:12 – GANs: Recent advances
39:38 – Summary

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