Generative Deep Learning

19.01.2018, 10:15-11:15  –  Haus 28, Raum 0.104

Sebastian Stober (Universität Potsdam)

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):

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