Name
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. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.3837/tiis.2019.04.001 | KSII TRANSACTIONS ON INTERNET AND INFORMATION SYSTEMS |
Keywords | Field | DocType |
Deep learning,machine learning,artificial intelligence,learning model,neural network,optimization method | Computer science,Artificial intelligence,Deep learning,Multimedia,Distributed computing | Journal |
Volume | Issue | ISSN |
13 | 4 | 1976-7277 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ruihui Mu | 1 | 4 | 0.71 |
| Xiaoqin Zeng | 2 | 407 | 32.97 |