'Joint configuration' presentation slideshows

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

1.89k views • 126 slides

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

1.71k views • 126 slides

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

1.82k views • 126 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.

1.04k views • 89 slides

Deep learning with multiplicative interactions

Deep learning with multiplicative interactions. Geoffrey Hinton Canadian Institute for Advanced Research & Department of Computer Science University of Toronto. Overview. Background: How to learn a multilayer generative model of unlabeled data using a Restricted Boltzmann Machine

742 views • 60 slides

NCSX Modular Coil Joint Load/Stress Calculation

NCSX Modular Coil Joint Load/Stress Calculation. By Leonard Myatt Myatt Consulting, Inc. The Big Picture. Estimates of Bolt Loads with Bonded Flange Interfaces need to be checked. MC Global model already quite big.

659 views • 45 slides

Highlights of Hinton's Contrastive Divergence Pre-NIPS Workshop

Highlights of Hinton's Contrastive Divergence Pre-NIPS Workshop. Yoshua Bengio & Pascal Lamblin USING SLIDES FROM Geoffrey Hinton, Sue Becker & Yann Le Cun. Overview. Motivations for learning deep unsupervised models Reminder: Boltzmann Machine & energy-based models

567 views • 42 slides

Chapter 23

Chapter 23. Cervical spine. Overview. The cervical spine consists of 37 joints, which allow for more motion than any other region of the spine

587 views • 38 slides

Jim Cuhel Welding Engineer Miller Electric Mfg. Co.

542 views • 21 slides

Geoffrey Hinton

CSC321: Introduction to Neural Networks and Machine Learning Lecture 17: Boltzmann Machines as Probabilistic Models. Geoffrey Hinton. Modeling binary data. Given a training set of binary vectors, fit a model that will assign a probability to other binary vectors.

237 views • 12 slides

CSC321: Neural Networks Lecture 19: Boltzmann Machines as Probabilistic Models

CSC321: Neural Networks Lecture 19: Boltzmann Machines as Probabilistic Models. Geoffrey Hinton. Modeling binary data. Given a training set of binary vectors, fit a model that will assign a probability to other binary vectors.

132 views • 12 slides