MIT (2020): Deep Generative Modeling

MIT (2020): Introduction to Deep Learning Deep Generative Modeling Lecturer: Ava Soleimany January 2020 For all lectures, slides, and lab materials: 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 Subscribe to stay up to date with new deep learning lectures at MIT, or follow us @MITDeepLearning on Twitter and Instagram to stay fully-connected!!