Abstract
This chapter presents information on deep learning. It describes the building blocks of the first breakthrough in deep neural networks being the deep belief neural network. These are the restricted Boltzmann machine and the contrastive divergence algorithm. Subsequently, the deep belief, convolutional, recurrent and deep autoencoder neural networks are presented, followed by concluding remarks.
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