자료유형 | 학위논문 |
---|---|
서명/저자사항 | Reduced Order Models and Approximations for Hardware Acceleration of Neural Networks. |
개인저자 | Azari, Elham. |
단체저자명 | Arizona State University. Computer Engineering. |
발행사항 | [S.l.]: Arizona State University., 2021. |
발행사항 | Ann Arbor: ProQuest Dissertations & Theses, 2021. |
형태사항 | 171 p. |
기본자료 저록 | Dissertations Abstracts International 83-02B. Dissertation Abstract International |
ISBN | 9798535548562 |
학위논문주기 | Thesis (Ph.D.)--Arizona State University, 2021. |
일반주기 |
Source: Dissertations Abstracts International, Volume: 83-02, Section: B.
Advisor: Vrudhula, Sarma. |
이용제한사항 | This item must not be sold to any third party vendors. |
일반주제명 | Computer engineering. Computer science. Design. Energy efficiency. Accuracy. Random variables. Sensitivity analysis. Classification. |
언어 | 영어 |
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: 이 자료의 원문은 한국교육학술정보원에서 제공합니다. |