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Author Zhou, Xichuan, author.

Title Deep learning on edge computing devices : design challenges of algorithm and architecture / Xichuan Zhou [and three others].

Publication Info. Amsterdam ; Cambridge, MA : Elsevier, [2022]

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Location Call No. OPAC Message Status
 Axe Elsevier ScienceDirect Ebook  Electronic Book    ---  Available
Description 1 online resource (ix, 188 pages) : illustrations
text txt rdacontent
computer c rdamedia
online resource cr rdacarrier
Bibliography Includes bibliographical references and index.
Note Description based on online resource; title from digital title page (viewed on March 28, 2022).
Contents Part 1. Introduction ; 1. Introduction; ; Part 2. Theory and Algorithm ; 2. Model Inference on Edge Device; 3. Model Training on Edge Device; 4. Network Encoding and Quantization; ; Part 3. Architecture Optimization ; 5. DANoC: An Algorithm and Hardware Codesign Prototype; 6. Ensemble Spiking Networks on Edge Device; 7. SenseCamera: A Learning Based Multifunctional Smart Camera Prototype
Subject Deep learning (Machine learning)
Edge computing.
Apprentissage profond.
Deep learning (Machine learning)
Edge computing
Added Author Liu, Haijun, author.
Shi, Cong, author.
Liu, Ji, author.
Other Form: Print version: Zhou, Xichuan Deep Learning on Edge Computing Devices San Diego : Elsevier,c2022 9780323857833
Print version: ZHOU, XICHUAN. DEEP LEARNING ON EDGE COMPUTING DEVICES. [S.l.] : ELSEVIER, 2022 0323857833 (OCoLC)1268111913
ISBN 0323909272 electronic book
9780323909273 (electronic bk.)
9780323857833
0323857833
Standard No. AU@ 000071341250
UKMGB 020528596
AU@ 000071981941

 
    
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