'Belief nets' presentation slideshows

2007 NIPS Tutorial on: Deep Belief Nets

2007 NIPS Tutorial on: Deep Belief Nets. Geoffrey Hinton Canadian Institute for Advanced Research & Department of Computer Science University of Toronto. Some things you will learn in this tutorial.

1.22k views • 100 slides

NCAP Summer School 2010 Tutorial on: Deep Learning

NCAP Summer School 2010 Tutorial on: Deep Learning. Geoffrey Hinton Canadian Institute for Advanced Research & Department of Computer Science University of Toronto. Overview of the tutorial.

1.06k views • 89 slides

Tutorial on: Deep Belief Nets

Tutorial on: Deep Belief Nets. Geoffrey Hinton Canadian Institute for Advanced Research & Department of Computer Science University of Toronto. Overview of the tutorial. FOUNDATIONS OF DEEP LEARNING Why we need to learn generative models. Why it is hard to learn directed belief nets.

973 views • 70 slides

Introduction to Bayesian Belief Nets

739 views • 63 slides

Introduction to Bayesian Belief Nets

720 views • 62 slides

Deep Learning

Deep Learning. Why?. Source: Huang et al., Communications ACM 01/2014.

582 views • 39 slides

Reasoning Under Uncertainty: Belief Networks Computer Science cpsc322, Lecture 27

Reasoning Under Uncertainty: Belief Networks Computer Science cpsc322, Lecture 27 (Textbook Chpt 6.3) Nov , 13, 2013. Big Picture: R&R systems. Stochastic. Deterministic. Environment. Problem. Arc Consistency. Search. Constraint Satisfaction. Vars + Constraints. SLS. Static.

377 views • 26 slides

Probabilistic models

Probabilistic models. Jouni Tuomisto THL. Outline. Deterministic models with probabilistic parameters Hierarchical Bayesian models Bayesian belief nets. Deterministic models with probabilistic parameters. Inputs are uncertain, but causal relations are assumed certain.

244 views • 15 slides