A survey of deep neural network architectures and their applications

Since the proposal of a fast learning algorithm for deep belief networks in 2006, the deep learning techniques have drawn ever-increasing research interests because of their inherent capability of overcoming the drawback of traditional algorithms dependent on hand-designed features. Deep learning ap...

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Bibliographic Details

Published in:	Neurocomputing (Amsterdam) Vol. 234; pp. 11 - 26
Main Authors:	Liu, Weibo, Wang, Zidong, Liu, Xiaohui, Zeng, Nianyin, Liu, Yurong, Alsaadi, Fuad E.
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 19.04.2017
Subjects:	Autoencoder Convolutional neural network Deep belief network Deep learning Restricted Boltzmann machine Deep learning Restricted Boltzmann machine Deep belief network Autoencoder Convolutional neural network
ISSN:	0925-2312, 1872-8286
Online Access:	Get full text
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