| Issue |
MATEC Web Conf.
Volume 277, 2019
2018 International Joint Conference on Metallurgical and Materials Engineering (JCMME 2018)
|
|
|---|---|---|
| Article Number | 02035 | |
| Number of page(s) | 7 | |
| Section | Data and Signal Processing | |
| DOI | https://doi.org/10.1051/matecconf/201927702035 | |
| Published online | 02 April 2019 | |
Deep learning review and discussion of its future development
University of Electronic Science and Technology of China, No.4, Block 2, North Jianshe Road, Chenghua District, Chengdu, Sichuan, China
* Corresponding author: zhiyinghao@std.uestc.edu.cn
This paper is a summary of the algorithms for deep learning and a brief discussion of its future development. In the first part, the concept of deep learning and the advantages and disadvantages of deep learning are introduced. The second part demonstrates several algorithms for deep learning. The third part introduces the application areas of deep learning. Then combines the above algorithms and applications to explore the subsequent development of deep learning. The last part makes a summary of the full paper.
© The Authors, published by EDP Sciences, 2019
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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