Generative Models, Adversarial Networks GANs, Variational Autoencoders VAEs, Representation Learning
Manolis Kellis Manolis Kellis
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 Published On Mar 4, 2021

Deep Learning in Life Sciences - Lecture 06 - Generative Models, GANs VAEs, Representation Learning
6.874/6.802/20.390/20.490/HST.506 Spring 2021 Prof. Manolis Kellis
Deep Learning in the Life Sciences / Computational Systems Biology
Playlist:    • MIT Deep Learning in Life Sciences - ...  
Latest slides and course today: http://compbio.mit.edu/6874
Spring 2021 slides and materials: http://mit6874.github.io/

0:00 Introduction
0:39 Representation learning
4:15 Latent space of representations
14:06 Pretext tasks
22:51 Autoencoders
28:12 Variational autoencoders
49:50 Generative adversarial networks
1:07:25 Variants of GANs and their applications
1:15:54 Taxonomy of generative models
1:17:20 Conclusion

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