MIT 6. S191: Deep Generative Modeling

MIT 6. S191 (2021): Introduction to Deep Learning Deep Generative Modeling Lecturer: Ava Soleimany January 2021 For all lectures, slides, and lab materials: 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 Subscribe to stay up to date with new deep learning lectures at MIT, or follow us MITDeepLearning on Twitter and Instagram to stay fullyconnected