9 Deep Learning for Generative Models: GANs and VAEs (MLVU2020)

slides: course materials: Today we discuss neural networks that can generate things that are similar to the data they were fed: generative models. We start out with a discussion of how to define a generator neural network, and why we can’t train them in a straightforward way. Then we discuss two training approaches: generative adversarial networks and (variational) autoencoders. For the variational autoencoder, we der