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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Deep Belief Networks used on High Resolution Multichannel Electroencephalography Data for Seizure Detection
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DeepQA: Improving the estimation of single protein model quality with deep belief networks