'Geoffrey hinton canadian institute' presentation slideshows

UCL Tutorial on: Deep Belief Nets (An updated and extended version of my 2007 NIPS tutorial)

1.71k views • 126 slides

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.

1.62k views • 100 slides

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.

1.15k views • 100 slides

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.

1.15k views • 100 slides

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?

1.11k views • 47 slides

Why equivariance is better than premature invariance

1. Why equivariance is better than premature invariance. Geoffrey Hinton Canadian Institute for Advanced Research & Department of Computer Science University of Toronto with contributions from Sida Wang and Alex Krizhevsky. 2. What is the right representation of images?.

828 views • 42 slides

How to do backpropagation in a brain

1. How to do backpropagation in a brain. Geoffrey Hinton Canadian Institute for Advanced Research & University of Toronto. What is wrong with back-propagation?. It requires labeled training data. (fixed) Almost all real data is unlabeled.

289 views • 16 slides