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CSC2515 Fall 2008 Introduction to Machine Learning Lecture 8 Deep Belief Nets

CSC2515 Fall 2008 Introduction to Machine Learning Lecture 8 Deep Belief Nets. All lecture slides will be available as .ppt, .ps, & .htm at www.cs.toronto.edu/~hinton. Three ways to combine probability density models. Mixture: A weighted average of the distributions.

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The next generation of neural networks

1. The next generation of neural networks. Geoffrey Hinton Canadian Institute for Advanced Research & University of Toronto. 2. The main aim of neural networks. People are much better than computers at recognizing patterns. How do they do it?

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1.11k views • 47 slides

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CSC2515 Fall 2008 Introduction to Machine Learning Lecture 8 Deep Belief Nets

The next generation of neural networks