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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 5 out of 5 stars
paperback. Condition: Very Good.
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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: 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
US$ 177.06
US$ 15.76 shipping from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: New. In.
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Condition: New. 1st edition NO-PA16APR2015-KAP.
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Paperback. Condition: New.
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Paperback. Condition: Brand New. 210 pages. 9.00x6.00x0.50 inches. In Stock.
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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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Deep Learning on Edge Computing Devices: Design Challenges of Algorithm and Architecture
Published by Elsevier Science & Technology|Elsevier, 2022
ISBN 10: 0323857833 ISBN 13: 9780323857833
Language: English
Kartoniert / Broschiert. Condition: New. 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 learnin.
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Deep Learning on Edge Computing Devices
Published by Elsevier - Health Sciences Division, US, 2022
ISBN 10: 0323857833 ISBN 13: 9780323857833
Language: English
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
Seller rating 5 out of 5 stars
Paperback. Condition: New. 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.
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Deep Learning on Edge Computing Devices
Published by Elsevier - Health Sciences Division, US, 2022
ISBN 10: 0323857833 ISBN 13: 9780323857833
Language: English
Paperback. Condition: New. 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.
