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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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Jude Gomila
Jude Gomila approved a suggestion from Golden's AI on 20 Aug, 2019
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In machine learningmachine 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. When trained on a set of examples without supervision, a DBN can learn to probabilistically reconstruct its inputs. After this learning step, a DBN can be further trained with supervision to perform classification.

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