Boltzmann machine - Wikipedia, the free encyclopedia

CentralNotice From Wikipedia, the free encyclopedia Jump to: navigation , search This article needs attention from an expert on the subject . Please add a reason or a talk parameter to this template to explain the issue with the article. Consider associating this request with a WikiProject . (January 2013) A graphical representation of an example Boltzmann machine. Each undirected edge represents dependency. In this example there are 3 hidden units and 4 visible units. This is not a restricted Boltzmann machine. A Boltzmann machine is a type of stochastic recurrent neural network invented by Geoffrey Hinton and Terry Sejnowski in 1985. Boltzmann machines can be seen as the stochastic , generative counterpart of Hopfield nets . They were one of the first examples of a neural network capable of learning internal representations, and are able to represent an...

Linked on 2015-06-09 18:13:32 | Similar Links