Yunji Chen,
Yunji (Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China) Chen,
Ling Li,
Ling (Institute of Software, Chinese Academy of Sciences, University of Chinese Academy of Sciences, Beijing, China) Li,
Wei Li,
Wei (State Key Lab of Processors, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China) Li,
Qi Guo,
Qi (State Key Lab of Processors, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China) Guo,
Zidong Du,
Zidong (State Key Lab of Processors, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China) Du,
Zichen Xu,
Zichen (School of Mathematics and Computer Science, The Nanchang University, Nanchang, China) Xu
e.a.
Elsevier Science
e druk, 2023
9780323953993
AI Computing Systems
An Application Driven Perspective
Specificaties
Paperback, blz.
|
Engels
Elsevier Science |
e druk, 2023
ISBN13: 9780323953993
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Juridisch
:
Levertijd ongeveer 9 werkdagen
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Samenvatting
AI Computing Systems: An Application Driven Perspective adopts the principle of "application-driven, full-stack penetration" and uses the specific intelligent application of "image style migration" to provide students with a sound starting place to learn. This approach enables readers to obtain a full view of the AI computing system. A complete intelligent computing system involves many aspects such as processing chip, system structure, programming environment, software, etc., making it a difficult topic to master in a short time.
Specificaties
Inhoudsopgave
1. Introduction<br>2. Neural Networks <br>3. Deep Learning <br>4. Fundamentals of Learning Frameworks<br>5. Learning Framework Principles<br>6. Theory behind Deep Learning Processors <br>7. Architecture for AI Computing Systems<br>8. AI Programming Language for AI Computing Systems<br>9. AI Computing Systems Labs
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