UID:
edoccha_9961017512502883
Format:
1 online resource (xx, 427 pages) :
,
illustrations (chiefly colour)
ISBN:
9780323953986
,
0323953980
Content:
"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. Key Features: Provides an in-depth analysis of the underlying principles behind the use of knowledge in intelligent computing systems. Centers around application-driven and full-stack penetration, focusing on the knowledge required to complete this application at all levels of the software and hardware technology stack. Supporting experimental tutorials covering key knowledge points in each chapter provide practical guidance and formalization tools for developing a simple AI computing system."--Provided by publisher.
Note:
Introduction -- Fundamentals of neural networks -- Deep learning -- Fundamentals of programming frameworks -- Programming framework principles -- Deep learning processors -- Architecture for AI computing systems -- AI programming language for AI computing systems -- Practice: AI computing systems -- APPENDIX A Fundamentals of computer architecture -- APPENDIX B Experimental environment.
Additional Edition:
Print version: AI computing systems. Cambridge, MA : Morgan Kaufmann is an imprint of Elsevier, [2024] ISBN 0323953999
Language:
English
DOI:
10.1016/C2021-0-02950-3
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