Relaxed Wasserstein, Generative Adversarial Networks, Variational Autoencoders and Their Applications
Relaxed Wasserstein, Generative Adversarial Networks, Variational Autoencoders and Their Applications
- 자료유형
- 학위논문파일 국외
- 최종처리일시
- 20220210092449
- ISBN
- 9798492731069
- DDC
- 658
- 저자명
- Yang, Nan.
- 서명/저자
- Relaxed Wasserstein, Generative Adversarial Networks, Variational Autoencoders and Their Applications
- 발행사항
- [Sl] : University of California, Berkeley, 2019
- 발행사항
- Ann Arbor : ProQuest Dissertations & Theses, 2019
- 형태사항
- 116 p
- 주기사항
- Source: Dissertations Abstracts International, Volume: 83-05, Section: B.
- 주기사항
- Advisor: Guo, Xin.
- 학위논문주기
- Thesis (Ph.D.)--University of California, Berkeley, 2019.
- 사용제한주기
- This item must not be sold to any third party vendors.
- 사용제한주기
- This item must not be added to any third party search indexes.
- 일반주제명
- Operations research
- 일반주제명
- Statistics
- 일반주제명
- Statistical physics
- 키워드
- Autoencoder
- 키워드
- Optimization
- 기타저자
- University of California, Berkeley Industrial Engineering & Operations Research
- 기본자료저록
- Dissertations Abstracts International. 83-05B.
- 기본자료저록
- Dissertation Abstract International
- 전자적 위치 및 접속
- 로그인 후 원문을 볼 수 있습니다.