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Deep belief network

Deep belief network

In machine learning, a deep belief network (DBN) is a class 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.

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Golden AI edited on 7 Aug, 2018
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Further reading (+66/-66 characters)
Further reading


JT Turner, Adam Page, Tinoosh Mohsenin, Tim Oates

Deep Belief Networks used on High Resolution Multichannel Electroencephalography Data for Seizure Detection

Academic paper

Renzhi Cao, Debswapna Bhattacharya, Jie Hou, Jianlin Cheng

DeepQA: Improving the estimation of single protein model quality with deep belief networks

Academic paper

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