Rethinking Motivation of Deep Neural Architectures
文献类型：期刊论文
| 作者 | Luo, Weilin1; Lu, Jinhu1,2,3,4,5,6; Li, Xuerong7 ; Chen, Lei1,3,8; Liu, Kexin1,9
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| 刊名 | IEEE CIRCUITS AND SYSTEMS MAGAZINE
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| 出版日期 | 2020 |
| 卷号 | 20期号:4页码:65-76 |
| ISSN号 | 1531-636X |
| DOI | 10.1109/MCAS.2020.3027222 |
| 英文摘要 | Nowadays, deep neural architectures have acquired great achievements in many domains, such as image processing and natural language processing. In this paper, we hope to provide new perspectives for the future exploration of novel artificial neural architectures via reviewing the proposal and development of existing architectures. We first roughly divide the influence domain of intrinsic motivations on some common deep neural architectures into three categories: information processing, information transmission and learning strategy. Furthermore, to illustrate how deep neural architectures are motivated and developed, motivation and architecture details of three deep neural networks, namely convolutional neural network (CNN), recurrent neural network (RNN) and generative adversarial network (GAN), are introduced respectively. Moreover, the evolution of these neural architectures are also elaborated in this paper. At last, this review is concluded and several promising research topics about deep neural architectures in the future are discussed. |
| WOS研究方向 | Engineering |
| 语种 | 英语 |
| WOS记录号 | WOS:000612854700005 |
| 出版者 | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
| 源URL | [http://ir.amss.ac.cn/handle/2S8OKBNM/58088]  |
| 专题 | 系统科学研究所 |
| 通讯作者 | Lu, Jinhu |
| 作者单位 | 1.Beihang Univ, Sch Automat Sci & Elect Engn, Beijing, Peoples R China 2.Chinese Acad Sci, AMSS, Beijing, Peoples R China 3.RMIT Univ, Melbourne, Vic, Australia 4.Princeton Univ, Princeton, NJ 08544 USA 5.Natl Key Res & Dev Program China, Beijing, Peoples R China 6.Innovat Res Grp NNSF China, Beijing, Peoples R China 7.Chinese Acad Sci, Acad Math & Syst Sci, Beijing, Peoples R China 8.Okayama Prefectural Univ, Soja, Japan 9.Peking Univ, Beijing, Peoples R China |
| 推荐引用方式 GB/T 7714 | Luo, Weilin,Lu, Jinhu,Li, Xuerong,et al. Rethinking Motivation of Deep Neural Architectures[J]. IEEE CIRCUITS AND SYSTEMS MAGAZINE,2020,20(4):65-76. |
| APA | Luo, Weilin,Lu, Jinhu,Li, Xuerong,Chen, Lei,&Liu, Kexin.(2020).Rethinking Motivation of Deep Neural Architectures.IEEE CIRCUITS AND SYSTEMS MAGAZINE,20(4),65-76. |
| MLA | Luo, Weilin,et al."Rethinking Motivation of Deep Neural Architectures".IEEE CIRCUITS AND SYSTEMS MAGAZINE 20.4(2020):65-76. |
入库方式： OAI收割
来源：数学与系统科学研究院
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