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- Deep_belief_network abstract "In machine learning, a deep belief network (DBN) is a generative graphical model, or alternatively a type of deep neural network, composed of multiple layers of latent variables ("hidden units"), with connections between the layers but not between units within each layer.When trained on a set of examples in an unsupervised way, a DBN can learn to probabilistically reconstruct its inputs. The layers then act as feature detectors on inputs. After this learning step, a DBN can be further trained in a supervised way to perform classification.DBNs can be viewed as a composition of simple, unsupervised networks such as restricted Boltzmann machines (RBMs) or autoencoders, where each sub-network's hidden layer serves as the visible layer for the next. This also leads to a fast, layer-by-layer unsupervised training procedure, where contrastive divergence is applied to each sub-network in turn, starting from the "lowest" pair of layers (the lowest visible layer being a training set).The observation, due to Yee-Whye Teh, Geoffrey Hinton's student, that DBNs can be trained greedily, one layer at a time, has been called a breakthrough in deep learning.".
- Deep_belief_network thumbnail Deep_belief_net.svg?width=300.
- Deep_belief_network wikiPageExternalLink DBN.html.
- Deep_belief_network wikiPageExternalLink deepbeliefnetwork.html.
- Deep_belief_network wikiPageID "41416740".
- Deep_belief_network wikiPageLength "3289".
- Deep_belief_network wikiPageOutDegree "25".
- Deep_belief_network wikiPageRevisionID "675211491".
- Deep_belief_network wikiPageWikiLink Artificial_neural_network.
- Deep_belief_network wikiPageWikiLink Autoencoder.
- Deep_belief_network wikiPageWikiLink Bayesian_network.
- Deep_belief_network wikiPageWikiLink Category:Artificial_neural_networks.
- Deep_belief_network wikiPageWikiLink Category:Probabilistic_models.
- Deep_belief_network wikiPageWikiLink Contrastive_divergence.
- Deep_belief_network wikiPageWikiLink Deep_learning.
- Deep_belief_network wikiPageWikiLink Feature_learning.
- Deep_belief_network wikiPageWikiLink Feature_vector.
- Deep_belief_network wikiPageWikiLink Generative_model.
- Deep_belief_network wikiPageWikiLink Geoffrey_Hinton.
- Deep_belief_network wikiPageWikiLink Graphical_model.
- Deep_belief_network wikiPageWikiLink Greedy_algorithm.
- Deep_belief_network wikiPageWikiLink Latent_variable.
- Deep_belief_network wikiPageWikiLink Latent_variables.
- Deep_belief_network wikiPageWikiLink Machine_learning.
- Deep_belief_network wikiPageWikiLink Restricted_Boltzmann_machine.
- Deep_belief_network wikiPageWikiLink Statistical_classification.
- Deep_belief_network wikiPageWikiLink Supervised_learning.
- Deep_belief_network wikiPageWikiLink Test_set.
- Deep_belief_network wikiPageWikiLink Training_set.
- Deep_belief_network wikiPageWikiLink Unsupervised_learning.
- Deep_belief_network wikiPageWikiLink File:Deep_belief_net.svg.
- Deep_belief_network wikiPageWikiLinkText "DBN".
- Deep_belief_network wikiPageWikiLinkText "DBNs".
- Deep_belief_network wikiPageWikiLinkText "Deep belief network".
- Deep_belief_network wikiPageWikiLinkText "deep belief network".
- Deep_belief_network wikiPageWikiLinkText "deep belief networks".
- Deep_belief_network hasPhotoCollection Deep_belief_network.
- Deep_belief_network wikiPageUsesTemplate Template:Cite_web.
- Deep_belief_network wikiPageUsesTemplate Template:Machine_learning_bar.
- Deep_belief_network wikiPageUsesTemplate Template:Mvar.
- Deep_belief_network wikiPageUsesTemplate Template:Reflist.
- Deep_belief_network wikiPageUsesTemplate Template:Rp.
- Deep_belief_network subject Category:Artificial_neural_networks.
- Deep_belief_network subject Category:Probabilistic_models.
- Deep_belief_network hypernym Model.
- Deep_belief_network type Person.
- Deep_belief_network comment "In machine learning, a deep belief network (DBN) is a generative graphical model, or alternatively a type of deep neural network, composed of multiple layers of latent variables ("hidden units"), with connections between the layers but not between units within each layer.When trained on a set of examples in an unsupervised way, a DBN can learn to probabilistically reconstruct its inputs. The layers then act as feature detectors on inputs.".
- Deep_belief_network label "Deep belief network".
- Deep_belief_network sameAs m.0zrq_3l.
- Deep_belief_network sameAs Q16954980.
- Deep_belief_network sameAs Q16954980.
- Deep_belief_network wasDerivedFrom Deep_belief_network?oldid=675211491.
- Deep_belief_network depiction Deep_belief_net.svg.
- Deep_belief_network isPrimaryTopicOf Deep_belief_network.
