Open AccessContrastive Divergence Learning May Diverge When Training Restricted Boltzmann Machines
Author(s) -
Christian Igel
Publication year - 2009
Publication title -
frontiers in computational neuroscience
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.794
H-Index - 58
ISSN - 1662-5188
DOI - 10.3389/conf.neuro.10.2009.14.121
Subject(s) - boltzmann machine , graphical model , computer science , artificial intelligence , gibbs sampling , markov chain monte carlo , restricted boltzmann machine , importance sampling , bipartite graph , generative model , divergence (linguistics) , deep learning , estimator , machine learning , theoretical computer science , monte carlo method , mathematics , graph , bayesian probability , generative grammar , statistics , linguistics , philosophy