Institutional Repository of Radio Astronomy Research Laboratory
| Theory of Generative Deep Learning II:Probe Landscape of Empirical Error via Norm Based Capacity Control | |
Xu, Wendi1,3 ; Zhang, Ming1,2
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| 2019-04-15 | |
| Conference Name | 5th IEEE International Conference on Cloud Computing and Intelligence Systems, CCIS 2018 |
| Source Publication | 5th IEEE International Conference on Cloud Computing and Intelligence Systems, CCIS 2018 |
| Pages | 470-474 |
| Conference Date | November 23, 2018 - November 25, 2018 |
| Conference Place | Nanjing, China |
| Country | China |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Contribution Rank | 1 |
| Abstract | Despite its remarkable empirical success as a highly competitive branch of artificial intelligence, deep learning is often blamed for its widely known low interpretation and lack of firm and rigorous mathematical foundation. However, most theoretical endeavor is devoted in discriminative deep learning case, whose complementary part is generative deep learning. To the best of our knowledge, we firstly highlight landscape of empirical error in generative case to complete the full picture through exquisite design of image super resolution under norm based capacity control. Our theoretical advance in interpretation of the training dynamic is achieved from both mathematical and biological sides. 2018 IEEE. |
| Keyword | Deep learning Cloud computing Computation theory Optical resolving power |
| DOI | 10.1109/CCIS.2018.8691394 |
| URL | 查看原文 |
| Indexed By | EI ; CPCI |
| Language | 英语 |
| ISBN | 9781538660041 |
| WOS ID | WOS:000468838000091 |
| EI Accession Number | 20191806864212 |
| Citation statistics | |
| Document Type | 会议论文 |
| Identifier | http://ir.xao.ac.cn/handle/45760611-7/3918 |
| Collection | 射电天文研究室_星系宇宙学研究团组 |
| Affiliation | 1.Xinjiang Astronomical Observatories, Chinese Academy of Sciences, Urumqi, 830011, China 2.Key Laboratory for Radio Astronomy, Chinese Academy of Sciences, Nanjing, 210008, China; 3.University of Chinese Academy of Sciences, Beijing, 100876, China |
| Recommended Citation GB/T 7714 | Xu, Wendi,Zhang, Ming. Theory of Generative Deep Learning II:Probe Landscape of Empirical Error via Norm Based Capacity Control[C]:Institute of Electrical and Electronics Engineers Inc.,2019:470-474. |
| Files in This Item: | ||||||
| File Name/Size | DocType | Version | Access | License | ||
| Xu-2019-Theory of Ge（891KB） | 会议论文 | 开放获取 | CC BY-NC-SA | View Application Full Text | ||
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