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Deep Learning Edge Computing by Zhou Xichuan (21 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 5 out of 5 stars
paperback. Condition: Very Good.
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PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.
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Deep Learning on Edge Computing
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US$ 173.90
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US$ 174.61
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Deep Learning on Edge Computing Devices : Design Challenges of Algorithm and Architecture
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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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
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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US$ 180.80
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Deep Learning on Edge Computing Devices : Design Challenges of Algorithm and Architecture
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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US$ 183.49
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Add to basketPaperback. 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
Published by Elsevier - Health Sciences Division, 2022
ISBN 10: 0323857833 ISBN 13: 9780323857833
Language: English
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
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US$ 203.86
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Add to basketPaperback / softback. Condition: New. New copy - Usually dispatched within 4 working days. 410.
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US$ 212.14
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Deep Learning on Edge Computing Devices: Design Challenges of Algorithm and Architecture
Published by Elsevier - Health Sciences Division, 2022
ISBN 10: 0323857833 ISBN 13: 9780323857833
Language: English
Seller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Ireland
Seller rating 5 out of 5 stars
US$ 215.29
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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
US$ 203.83
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Add to basketKartoniert / 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
US$ 258.98
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Add to basketPaperback. 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: Design Challenges of Algorithm and Architecture
Published by Elsevier - Health Sciences Division, 2022
ISBN 10: 0323857833 ISBN 13: 9780323857833
Language: English
Condition: New. 2022. Paperback. . . . . . Books ship from the US and Ireland.
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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
US$ 252.06
Convert currencyUS$ 88.75 shipping from United Kingdom to U.S.A.Quantity: 1 available
Add to basketPaperback. 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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US$ 169.42
Convert currencyUS$ 6.53 shipping from Italy to U.S.A.Quantity: Over 20 available
Add to basketCondition: new. Questo è un articolo print on demand.
