How Does a Generative Neural Network Work Inside? David Bau, MIT

In this presentation, David Bau of MIT explains the background and constructs a review on GANs, what an unsupervised network can learn, dissects a GAN and also explains what a network can fail to learn.

David Bau is a PhD student at MIT CSAIL, advised by Professor Antonio Torralba. David previously worked at Google and Microsoft where he has contributed to several widely used products including Google Image Search and Microsoft Internet Explorer. David believes that complex systems should be built to be transparent, and his research focuses on the interpretability of deep networks.