Vol. 13, No. 4, April 29, 2019
10.3837/tiis.2019.04.001,
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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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Cite this article
[IEEE Style]
R. Mu and X. Zeng, "A Review of Deep Learning Research," KSII Transactions on Internet and Information Systems, vol. 13, no. 4, pp. 1738-1764, 2019. DOI: 10.3837/tiis.2019.04.001.
[ACM Style]
Ruihui Mu and Xiaoqin Zeng. 2019. A Review of Deep Learning Research. KSII Transactions on Internet and Information Systems, 13, 4, (2019), 1738-1764. DOI: 10.3837/tiis.2019.04.001.
[BibTeX Style]
@article{tiis:22059, title="A Review of Deep Learning Research", author="Ruihui Mu and Xiaoqin Zeng and ", journal="KSII Transactions on Internet and Information Systems", DOI={10.3837/tiis.2019.04.001}, volume={13}, number={4}, year="2019", month={April}, pages={1738-1764}}