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
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!!
Видео MIT 6.S191 (2020): Deep Generative Modeling канала Alexander Amini
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
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!!
Видео MIT 6.S191 (2020): Deep Generative Modeling канала Alexander Amini
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