DocumentCode :
1356010
Title :
Deep Machine Learning - A New Frontier in Artificial Intelligence Research [Research Frontier]
Author :
Arel, Itamar ; Rose, Derek C. ; Karnowski, T.P.
Author_Institution :
Univ. of Tennessee, Knoxville, TN, USA
Volume :
5
Issue :
4
fYear :
2010
Firstpage :
13
Lastpage :
18
Abstract :
This article provides an overview of the mainstream deep learning approaches and research directions proposed over the past decade. It is important to emphasize that each approach has strengths and "weaknesses, depending on the application and context in "which it is being used. Thus, this article presents a summary on the current state of the deep machine learning field and some perspective into how it may evolve. Convolutional Neural Networks (CNNs) and Deep Belief Networks (DBNs) (and their respective variations) are focused on primarily because they are well established in the deep learning field and show great promise for future work.
Keywords :
belief networks; learning (artificial intelligence); neural nets; CNN; DBN; artificial intelligence research; convolutional neural networks; deep belief networks; deep machine learning approach;
fLanguage :
English
Journal_Title :
Computational Intelligence Magazine, IEEE
Publisher :
ieee
ISSN :
1556-603X
Type :
jour
DOI :
10.1109/MCI.2010.938364
Filename :
5605630
Link To Document :
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