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- Convolutional_Deep_Belief_Networks abstract "In computer science, Convolutional Deep Belief Network (CDBN) is a type of deep neural network that is composed of multiple layers of convolutional restricted Boltzmann machines stacked together. Alternatively, it is a hierarchical generative model for deep learning, which is highly effective in the tasks of image processing and object recognition, though it has been used in other domains too. The salient features of the model include the fact that it scales well to high-dimensional images and is translation-invariant.CDBNs use the technique of probabilistic max-pooling to reduce the dimensions in higher layers in the network. Training of the network is accomplished in a greedy layer-wise manner, similar to other deep learning networks.".
- Convolutional_Deep_Belief_Networks wikiPageID "42368614".
- Convolutional_Deep_Belief_Networks wikiPageRevisionID "603491959".
- Convolutional_Deep_Belief_Networks subject Category:Neural_networks.
- Convolutional_Deep_Belief_Networks subject Category:Probabilistic_models.
- Convolutional_Deep_Belief_Networks comment "In computer science, Convolutional Deep Belief Network (CDBN) is a type of deep neural network that is composed of multiple layers of convolutional restricted Boltzmann machines stacked together. Alternatively, it is a hierarchical generative model for deep learning, which is highly effective in the tasks of image processing and object recognition, though it has been used in other domains too.".
- Convolutional_Deep_Belief_Networks label "Convolutional Deep Belief Networks".
- Convolutional_Deep_Belief_Networks sameAs m.0105mmh2.
- Convolutional_Deep_Belief_Networks sameAs Q17009075.
- Convolutional_Deep_Belief_Networks sameAs Q17009075.
- Convolutional_Deep_Belief_Networks wasDerivedFrom Convolutional_Deep_Belief_Networks?oldid=603491959.
- Convolutional_Deep_Belief_Networks isPrimaryTopicOf Convolutional_Deep_Belief_Networks.