Generative Deep Learning
Sebastian Stober, University of Potsdam 2.28.0.104
A short introduction into Deep Learning will be followed by an overview on Deep Generative Models. This will include energy based models (Boltzmann Machines) and more recent developments with variational Bayesian Learning (VAEs, GANs, autoregressive models).