November 2017
Intermediate to advanced
274 pages
6h 16m
English
Content preview from Neural Network Programming with TensorFlow
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Understanding deep belief networks
DBNs can be considered a composition of simple, unsupervised networks such as Restricted Boltzmann machines (RBMs) or autoencoders; in these, each subnetwork's hidden layer serves as the visible layer for the next. An RBM is an undirected, generative model with an input layer (which is visible) and a hidden layer, with connections between the layers but not within layers. This topology leads to a fast, layer-by-layer, unsupervised training procedure. Contrastive divergence is applied to each subnetwork, starting from the lowest pair of layers (the lowest visible layer is a training set).
DBNs are trained (greedily), one layer at a time, which makes it one of the first effective deep learning algorithms. ...
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