TIIS (한국인터넷정보학회)
Current Result Document :
| 한글제목(Korean Title) |
A Review of Deep Learning Research |
| 영문제목(English Title) |
A Review of Deep Learning Research |
| 저자(Author) |
Ruihui Mu
Xiaoqin Zeng
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| 원문수록처(Citation) |
VOL 13 NO. 04 PP. 1738 ~ 1764 (2019. 04) |
한글내용
(Korean Abstract) |
|
영문내용
(English Abstract) |
With the advent of big data, deep learning technology has become an important research direction in the field of machine learning, which has been widely applied in the image processing, natural language processing, speech recognition and online advertising and so on. This paper introduces deep learning techniques from various aspects, including common models of deep learning and their optimization methods, commonly used open source frameworks, existing problems and future research directions. Firstly, we introduce the applications of deep learning; Secondly, we introduce several common models of deep learning and optimization methods; Thirdly, we describe several common frameworks and platforms of deep learning; Finally, we introduce the latest acceleration technology of deep learning and highlight the future work of deep learning.
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| 키워드(Keyword) |
Deep learning
machine learning
artificial intelligence
learning model
neural network
optimization method
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| 파일첨부 |
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