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Ajouter au panierpaperback. Etat : Very Good.
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Ajouter au panierPAP. Etat : New. New Book. Shipped from UK. Established seller since 2000.
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Ajouter au panierEtat : New. 1st edition NO-PA16APR2015-KAP.
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Ajouter au panierPaperback. Etat : New.
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Edité par Elsevier - Health Sciences Division, 2022
ISBN 10 : 0323857833 ISBN 13 : 9780323857833
Langue: anglais
Vendeur : THE SAINT BOOKSTORE, Southport, Royaume-Uni
EUR 171,18
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Ajouter au panierPaperback / softback. Etat : New. New copy - Usually dispatched within 4 working days. 410.
Vendeur : Biblios, Frankfurt am main, HESSE, Allemagne
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Ajouter au panierEtat : New.
Edité par Elsevier - Health Sciences Division, 2022
ISBN 10 : 0323857833 ISBN 13 : 9780323857833
Langue: anglais
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Ajouter au panierEtat : New. 2022. Paperback. . . . . .
Edité par Elsevier - Health Sciences Division, US, 2022
ISBN 10 : 0323857833 ISBN 13 : 9780323857833
Langue: anglais
Vendeur : Rarewaves.com USA, London, LONDO, Royaume-Uni
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Ajouter au panierPaperback. Etat : 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.
Edité par Elsevier Science & Technology|Elsevier, 2022
ISBN 10 : 0323857833 ISBN 13 : 9780323857833
Langue: anglais
Vendeur : moluna, Greven, Allemagne
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Ajouter au panierKartoniert / Broschiert. Etat : 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.
Edité par Elsevier - Health Sciences Division, 2022
ISBN 10 : 0323857833 ISBN 13 : 9780323857833
Langue: anglais
Vendeur : Kennys Bookstore, Olney, MD, Etats-Unis
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Ajouter au panierEtat : New. 2022. Paperback. . . . . . Books ship from the US and Ireland.
Edité par Elsevier - Health Sciences Division, US, 2022
ISBN 10 : 0323857833 ISBN 13 : 9780323857833
Langue: anglais
Vendeur : Rarewaves.com UK, London, Royaume-Uni
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Ajouter au panierPaperback. Etat : 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.
Vendeur : Brook Bookstore On Demand, Napoli, NA, Italie
EUR 138,55
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Ajouter au panierEtat : new. Questo è un articolo print on demand.
Vendeur : Revaluation Books, Exeter, Royaume-Uni
EUR 154,07
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Ajouter au panierPaperback. Etat : Brand New. 210 pages. 9.00x6.00x0.50 inches. In Stock. This item is printed on demand.