DocumentCode :
3582843
Title :
Preview on structures and algorithms of deep learning
Author :
Ping Kuang ; Wei-Na Cao ; Qiao Wu
Author_Institution :
Sch. of Comput. Sci. & Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu, China
fYear :
2014
Firstpage :
176
Lastpage :
179
Abstract :
Deep learning proposed by Hinton et al is a new learning algorithm of multi-layer neural network, and it is also a new study field in machine learning. This paper describes the structures and advantages to shallow learning of deep learning, and analyzes current popular learning algorithm in detail. Finally, this paper analyzes research directions and future prospects of deep learning.
Keywords :
learning (artificial intelligence); multilayer perceptrons; deep learning algorithm; deep learning structure; learning algorithm; machine learning; multilayer neural network; shallow learning; Biological neural networks; Convolution; Feature extraction; Machine learning algorithms; Training; Visualization; Deep learning; learning algorithm; machine learning;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Wavelet Active Media Technology and Information Processing (ICCWAMTIP), 2014 11th International Computer Conference on
Print_ISBN :
978-1-4799-7207-4
Type :
conf
DOI :
10.1109/ICCWAMTIP.2014.7073385
Filename :
7073385
Link To Document :
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