In this lecture we will continue our discussion of probabilistic undirected graphical models with the Deep Belief Network. The material is that listed from the last lecture plus the material below.
Please study the following material in preparation for the class:
- Chapter 15 (sec. 15.1) of the Deep Learning Textbook (estimating the partition function.
- Texture modeling slides
Other relevant material:
- Texture Modeling with Convolutional Spike-and-Slab RBMs and Deep Extensions Heng Luo, Pierre Luc Carrier, Aaron Courville, Yoshua Bengio. This is an application of the deep belief network as a generative model.