MARC보기
LDR01946nam u200577 4500
001000000466543
00520220223111803
008220131s2021 us ||||||||||||||c||eng d
020 ▼a 9798534664591
035 ▼a (MiAaPQ)AAI28646296
040 ▼a MiAaPQ ▼c MiAaPQ ▼d 247004
0820 ▼a 001.5
1001 ▼a Chin, Ting-Wu.
24510 ▼a On Designing Resource-Constrained CNNs Efficiently.
260 ▼a [S.l.]: ▼b Carnegie Mellon University., ▼c 2021.
260 1 ▼a Ann Arbor: ▼b ProQuest Dissertations & Theses, ▼c 2021.
300 ▼a 135 p.
500 ▼a Source: Dissertations Abstracts International, Volume: 83-02, Section: B.
500 ▼a Advisor: Marculescu, Diana;Joshi, Gauri.
5021 ▼a Thesis (Ph.D.)--Carnegie Mellon University, 2021.
506 ▼a This item must not be sold to any third party vendors.
590 ▼a School code: 0041.
650 4 ▼a Artificial intelligence.
650 4 ▼a Computer engineering.
650 4 ▼a Computer science.
650 4 ▼a Information technology.
650 4 ▼a Standard deviation.
650 4 ▼a Accuracy.
650 4 ▼a Datasets.
650 4 ▼a Experiments.
650 4 ▼a Optimization.
650 4 ▼a Neural networks.
650 4 ▼a Carbon footprint.
650 4 ▼a Algorithms.
690 ▼a 0800
690 ▼a 0464
690 ▼a 0984
690 ▼a 0489
71020 ▼a Carnegie Mellon University. ▼b Electrical and Computer Engineering.
7730 ▼t Dissertations Abstracts International ▼g 83-02B.
773 ▼t Dissertation Abstract International
790 ▼a 0041
791 ▼a Ph.D.
792 ▼a 2021
793 ▼a English
85640 ▼u http://www.riss.kr/pdu/ddodLink.do?id=T16053314 ▼n KERIS ▼z 이 자료의 원문은 한국교육학술정보원에서 제공합니다.
980 ▼a 202202 ▼f 2022
990 ▼a ***1012033
991 ▼a E-BOOK