Lectures

Lecture 24, April 7th, 2016: Variational Auto-Encoders (VAEs) and Generative Adversarial Networks (GANs)

In this lecture we will discuss two modern generative models, the variational auto-encoders (VAEs) and the generative adversarial networks (GANs).

Please study the following material in preparation for the class:

  • Part of Chapter 20 (sec. 20.9 to 20.10) of the Deep Learning Textbook (deep generative models).
  • Slides on deep generative modeling (26 to 41)

 

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Lectures

Lecture 23, April 4th, 2016: Deep Belief Networks and Deep Boltzmann Machines

In this lecture we will continue our discussion of probabilistic undirected graphical models with the Deep Belief Network and the Deep Boltzmann Machine.

Please study the following material in preparation for the class:

  • Part of Chapter 20 (sec. 20.1 to 20.8) of the Deep Learning Textbook (deep generative models).
  • Slides on deep generative modeling (1 to 25)
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