In this lecture we will continue our discussion of probabilistic undirected graphical models such as the Restricted Boltzmann Machine and moving on to the Deep Belief Network. We will also review the quiz from last Monday.
Please study the following material in preparation for the class:
- Lecture 7 (esp. 7.7 to 7.9) of Hugo Larochelle’s course on Neural Networks.
- Chapter 21 (sec. 21.3) of the Deep Learning Textbook on deep generative models
Other relevant material:
- Lectures 14 of Geoff Hinton’s cousera course on Neural Networks.