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Deep Learning Edge Computing by Zhou Xichuan (14 results)
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Deep Learning on Edge Computing Devices: Design Challenges of Algorithm and Architecture
Seller: Books From California, Simi Valley, CA, U.S.A.
Seller rating 4 out of 5 stars
paperback. Condition: Very Good.
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Paperback. Condition: Brand New. 210 pages. 9.00x6.00x0.50 inches. In Stock.
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Condition: New. 1st edition NO-PA16APR2015-KAP.
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Deep Learning on Edge Computing Devices: Design Challenges of Algorithm and Architecture
Language: English
Published by Elsevier - Health Sciences Division, 2022
ISBN 10: 0323857833 ISBN 13: 9780323857833
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Seller rating 5 out of 5 stars
£ 145.25
£ 14.85 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketPaperback / softback. Condition: New. New copy - Usually dispatched within 4 working days.
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Deep Learning on Edge Computing Devices : Design Challenges of Algorithm and Architecture
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: New.
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Deep Learning on Edge Computing Devices: Design Challenges of Algorithm and Architecture
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 159.03
£ 11.98 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: New. In.
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Condition: As New. Unread book in perfect condition.
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Deep Learning on Edge Computing Devices : Design Challenges of Algorithm and Architecture
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: As New. Unread book in perfect condition.
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Condition: New. Focuses on hardware architecture and embedded deep learning, including neural networks Brings together neural network algorithm and hardware design optimization approaches to deep learning, alongside real-world applications Consid.
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Condition: new. Questo è un articolo print on demand.
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Deep Learning on Edge Computing Devices : Design Challenges of Algorithm and Architecture
Language: English
Published by Elsevier Science & Technology, Elsevier, 2022
ISBN 10: 0323857833 ISBN 13: 9780323857833
Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Deep Learning on Edge Computing Devices: Design Challenges of Algorithm and Architecture focuses on hardware architecture and embedded deep learning, including neural networks. The title helps researchers maximize the performance of Edge-deep learning models for mobile computing and other applications by presenting neural network algorithms and hardware design optimization approaches for Edge-deep learning. Applications are introduced in each section, and a comprehensive example, smart surveillance cameras, is presented at the end of the book, integrating innovation in both algorithm and hardware architecture. Structured into three parts, the book covers core concepts, theories and algorithms and architecture optimization.This book provides a solution for researchers looking to maximize the performance of deep learning models on Edge-computing devices through algorithm-hardware co-design.
