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Neural Encoding and Decoding with Deep Learning for Natural Vision
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| 자료유형 | 학위논문 |
|---|---|
| 서명/저자사항 | Neural Encoding and Decoding with Deep Learning for Natural Vision. |
| 개인저자 | Wen, Haiguang. |
| 단체저자명 | Purdue University. Electrical and Computer Engineering. |
| 발행사항 | [S.l.]: Purdue University., 2018. |
| 발행사항 | Ann Arbor: ProQuest Dissertations & Theses, 2018. |
| 형태사항 | 161 p. |
| 기본자료 저록 | Dissertation Abstracts International 79-10B(E). Dissertation Abstract International |
| ISBN | 9780438018075 |
| 학위논문주기 | Thesis (Ph.D.)--Purdue University, 2018. |
| 일반주기 |
Source: Dissertation Abstracts International, Volume: 79-10(E), Section: B.
Adviser: Zhongming Liu. |
| 요약 | The overarching objective of this work is to bridge neuroscience and artificial intelligence to ultimately build machines that learn, act, and think like humans. In the context of vision, the brain enables humans to readily make sense of the vis |
| 일반주제명 | Electrical engineering. Computer science. Biomedical engineering. |
| 언어 | 영어 |
| 바로가기 | 
: 이 자료의 원문은 한국교육학술정보원에서 제공합니다. |
