文献类型：期刊文献

英文题名：A Review of Deep Learning Research

作者：Mu, Ruihui[1,2];Zeng, Xiaoqin[1]

第一作者：Mu, Ruihui;穆瑞辉

通讯作者：Mu, RH[1]

机构：[1]Hohai Univ, Coll Comp & Informat, Nanjing 210098, Jiangsu, Peoples R China;[2]Xinxiang Univ, Coll Comp & Informat Engn, Xinxiang 453000, Henan, Peoples R China

第一机构：Hohai Univ, Coll Comp & Informat, Nanjing 210098, Jiangsu, Peoples R China

通讯机构：[1]corresponding author), Hohai Univ, Coll Comp & Informat, Nanjing 210098, Jiangsu, Peoples R China.

年份：2019

卷号：13

期号：4

起止页码：1738-1764

外文期刊名：KSII TRANSACTIONS ON INTERNET AND INFORMATION SYSTEMS

收录：;EI(收录号：20192807163313);Scopus(收录号：2-s2.0-85068453132);WOS:【SCI-EXPANDED(收录号:WOS:000469942600001)】；

基金：This research was partially supported by the National Key Research and Development Plan Key Projects of China under Grant No. 2017YFC0405800, the National Natural Science Foundation of China Grant (Nos. 60971088, 60571048, 61432008, and 61375121), the Natural Science Foundation of the Colleges and Universities in Jiangsu Province of China, No. 17KJB520022.

语种：英文

外文关键词：Deep learning; machine learning; artificial intelligence; learning model; neural network; optimization method

摘要：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.