Deep belief network
In machine learning, a deep belief network (DBN) is a generative graphical model, or alternatively 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. The layers then act as feature detectors. After this learning step, a DBN can be further trained with supervision to perform classification.
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Applications of artificial intelligenceAutoencoderBayesian networkBlahut–Arimoto algorithmBoltzmann machineComparison of deep-learning softwareConvolutional deep belief networkConvolutional neural networkDBNDeep Belief NetworkDeep Belief NetworksDeep belief netDeep lambertian networksDeep learningDeep networkDeeplearning4jFault detection and isolationGenerative modelList of important publications in computer scienceMultimodal learningOutline of machine learningRestricted Boltzmann machineStylometryTypes of artificial neural networksVanishing gradient problemWake-sleep algorithmYee Whye Teh
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Deep belief network
In machine learning, a deep belief network (DBN) is a generative graphical model, or alternatively 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. The layers then act as feature detectors. After this learning step, a DBN can be further trained with supervision to perform classification.
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In machine learning, a deep be ...... ephalography, drug discovery).
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In machine learning, a deep be ...... ion to perform classification.
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Deep belief network
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