2007 NIPS Tutorial on: Deep Belief Nets Geoffrey Hinton Canadian Institute for Advanced Research & Department of Computer Science University of Toronto.
Deep Learning Bing-Chen Tsai 1/21 1. outline Neural networks Graphical model Belief nets Boltzmann machine DBN Reference 2.
CSC2535 Lecture 4 Boltzmann Machines, Sigmoid Belief Nets and Gibbs sampling Geoffrey Hinton.
CSC321: Introduction to Neural Networks and Machine Learning Lecture 22: Transforming autoencoders for learning the right representation of shapes Geoffrey.
