Theory of Generative Deep Learning II:Probe Landscape of Empirical Error via Norm Based Capacity Control
文献类型：会议论文
| 作者 | Xu, Wendi1,3 ; Zhang, Ming1,2
|
| 出版日期 | 2019-04-15 |
| 会议日期 | November 23, 2018 - November 25, 2018 |
| 会议地点 | Nanjing, China |
| 关键词 | Deep learning Cloud computing Computation theory Optical resolving power |
| DOI | 10.1109/CCIS.2018.8691394 |
| 页码 | 470-474 |
| 国家 | China |
| 英文摘要 | 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. |
| 产权排序 | 1 |
| 会议录 | 5th IEEE International Conference on Cloud Computing and Intelligence Systems, CCIS 2018
 |
| 会议录出版者 | Institute of Electrical and Electronics Engineers Inc. |
| 语种 | 英语 |
| URL标识 | 查看原文 |
| ISBN号 | 9781538660041 |
| 源URL | [http://ir.xao.ac.cn/handle/45760611-7/3918]  |
| 专题 | 星系宇宙学研究团组 |
| 作者单位 | 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 |
| 推荐引用方式 GB/T 7714 | Xu, Wendi,Zhang, Ming. Theory of Generative Deep Learning II:Probe Landscape of Empirical Error via Norm Based Capacity Control[C]. 见:. Nanjing, China. November 23, 2018 - November 25, 2018. |
入库方式： OAI收割
来源：新疆天文台
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