Research Area: Machine Learning
Deep learning, a branch of machine learning, is a frontier for artificial intelligence, aiming to be closer to its primary goal—artificial intelligence. This paper mainly adopts the summary and the induction methods of deep learning. Firstly, it introduces the global development and the current situation of deep learning. Secondly, it describes the structural principle, the characteristics, and some kinds of classic models of deep learning, such as stacked auto encoder, deep belief network, deep Boltzmann machine, and convolutional neural network. Thirdly, it presents the latest developments and applications of deep learning in many fields such as speech processing, computer vision, natural language processing, and medical applications. Finally, it puts forward the problems and the future research directions of deep learning.
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Author(s) Name: Shi Dong, Ping Wang, Khushnood Abbas
Journal name: Computer Science Review
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Publisher name: Elsevier Inc
DOI: https://doi.org/10.1016/j.cosrev.2021.100379
Volume Information: Volume 40, 100379
