Deep-belief network with DL4J
A deep-belief network can be defined as a stack of restricted Boltzmann machines in which each RBM layer communicates with both the previous and subsequent layers. The nodes of any single layer don’t communicate with each other laterally. This stack of RBMs might end with a Softmax layer to create a classifier, or it may […]
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