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Ajouter au panierhardcover. Etat : Gut. Seiten; 9781394185849.3 Gewicht in Gramm: 1.
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Ajouter au panierEtat : new.
Langue: anglais
Edité par John Wiley & Sons Inc, New York, 2023
ISBN 10 : 1394185847 ISBN 13 : 9781394185849
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Ajouter au panierHardcover. Etat : new. Hardcover. EXPLAINABLE MACHINE LEARNING MODELS AND ARCHITECTURES This cutting-edge new volume covers the hardware architecture implementation, the software implementation approach, and the efficient hardware of machine learning applications. Machine learning and deep learning modules are now an integral part of many smart and automated systems where signal processing is performed at different levels. Signal processing in the form of text, images, or video needs large data computational operations at the desired data rate and accuracy. Large data requires more use of integrated circuit (IC) area with embedded bulk memories that further lead to more IC area. Trade-offs between power consumption, delay and IC area are always a concern of designers and researchers. New hardware architectures and accelerators are needed to explore and experiment with efficient machine-learning models. Many real-time applications like the processing of biomedical data in healthcare, smart transportation, satellite image analysis, and IoT-enabled systems have a lot of scope for improvements in terms of accuracy, speed, computational powers, and overall power consumption. This book deals with the efficient machine and deep learning models that support high-speed processors with reconfigurable architectures like graphic processing units (GPUs) and field programmable gate arrays (FPGAs), or any hybrid system. Whether for the veteran engineer or scientist working in the field or laboratory, or the student or academic, this is a must-have for any library. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Vendeur : Revaluation Books, Exeter, Royaume-Uni
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Ajouter au panierPaperback. Etat : Brand New. 400 pages. 9.25x7.50x1.26 inches. In Stock.
Vendeur : Brook Bookstore On Demand, Napoli, NA, Italie
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Vendeur : GreatBookPrices, Columbia, MD, Etats-Unis
EUR 174,26
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Ajouter au panierEtat : As New. Unread book in perfect condition.
Langue: anglais
Edité par Elsevier Science Publishing Co Inc, 2024
ISBN 10 : 0443221588 ISBN 13 : 9780443221583
Vendeur : THE SAINT BOOKSTORE, Southport, Royaume-Uni
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Ajouter au panierPaperback / softback. Etat : New. New copy - Usually dispatched within 4 working days.
Vendeur : GreatBookPrices, Columbia, MD, Etats-Unis
EUR 183,07
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Ajouter au panierEtat : New.
Langue: anglais
Edité par John Wiley & Sons Inc, New York, 2023
ISBN 10 : 1394185847 ISBN 13 : 9781394185849
Vendeur : CitiRetail, Stevenage, Royaume-Uni
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Ajouter au panierHardcover. Etat : new. Hardcover. EXPLAINABLE MACHINE LEARNING MODELS AND ARCHITECTURES This cutting-edge new volume covers the hardware architecture implementation, the software implementation approach, and the efficient hardware of machine learning applications. Machine learning and deep learning modules are now an integral part of many smart and automated systems where signal processing is performed at different levels. Signal processing in the form of text, images, or video needs large data computational operations at the desired data rate and accuracy. Large data requires more use of integrated circuit (IC) area with embedded bulk memories that further lead to more IC area. Trade-offs between power consumption, delay and IC area are always a concern of designers and researchers. New hardware architectures and accelerators are needed to explore and experiment with efficient machine-learning models. Many real-time applications like the processing of biomedical data in healthcare, smart transportation, satellite image analysis, and IoT-enabled systems have a lot of scope for improvements in terms of accuracy, speed, computational powers, and overall power consumption. This book deals with the efficient machine and deep learning models that support high-speed processors with reconfigurable architectures like graphic processing units (GPUs) and field programmable gate arrays (FPGAs), or any hybrid system. Whether for the veteran engineer or scientist working in the field or laboratory, or the student or academic, this is a must-have for any library. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Vendeur : GreatBookPricesUK, Woodford Green, Royaume-Uni
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Vendeur : GreatBookPricesUK, Woodford Green, Royaume-Uni
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Ajouter au panierEtat : As New. Unread book in perfect condition.
Vendeur : Majestic Books, Hounslow, Royaume-Uni
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Ajouter au panierEtat : New.
Vendeur : California Books, Miami, FL, Etats-Unis
EUR 206,82
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Ajouter au panierEtat : New.
Langue: anglais
Edité par John Wiley & Sons Inc, New York, 2023
ISBN 10 : 1394185847 ISBN 13 : 9781394185849
Vendeur : AussieBookSeller, Truganina, VIC, Australie
EUR 185,90
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Ajouter au panierHardcover. Etat : new. Hardcover. EXPLAINABLE MACHINE LEARNING MODELS AND ARCHITECTURES This cutting-edge new volume covers the hardware architecture implementation, the software implementation approach, and the efficient hardware of machine learning applications. Machine learning and deep learning modules are now an integral part of many smart and automated systems where signal processing is performed at different levels. Signal processing in the form of text, images, or video needs large data computational operations at the desired data rate and accuracy. Large data requires more use of integrated circuit (IC) area with embedded bulk memories that further lead to more IC area. Trade-offs between power consumption, delay and IC area are always a concern of designers and researchers. New hardware architectures and accelerators are needed to explore and experiment with efficient machine-learning models. Many real-time applications like the processing of biomedical data in healthcare, smart transportation, satellite image analysis, and IoT-enabled systems have a lot of scope for improvements in terms of accuracy, speed, computational powers, and overall power consumption. This book deals with the efficient machine and deep learning models that support high-speed processors with reconfigurable architectures like graphic processing units (GPUs) and field programmable gate arrays (FPGAs), or any hybrid system. Whether for the veteran engineer or scientist working in the field or laboratory, or the student or academic, this is a must-have for any library. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Vendeur : Majestic Books, Hounslow, Royaume-Uni
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Ajouter au panierEtat : New.
Vendeur : Books Puddle, New York, NY, Etats-Unis
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Ajouter au panierEtat : New.
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Ajouter au panierEtat : New. 1st edition NO-PA16APR2015-KAP.
Vendeur : Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlande
Edition originale
EUR 217,44
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Ajouter au panierEtat : New. 2023. 1st Edition. hardcover. . . . . .
Vendeur : Biblios, Frankfurt am main, HESSE, Allemagne
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Ajouter au panierEtat : New.
Vendeur : Revaluation Books, Exeter, Royaume-Uni
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Ajouter au panierHardcover. Etat : Brand New. 272 pages. 9.21x6.18x0.75 inches. In Stock.
Vendeur : Kennys Bookstore, Olney, MD, Etats-Unis
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Ajouter au panierEtat : New. 2023. 1st Edition. hardcover. . . . . . Books ship from the US and Ireland.
Vendeur : Revaluation Books, Exeter, Royaume-Uni
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Ajouter au panierHardcover. Etat : Brand New. 400 pages. 9.18x6.12x9.21 inches. In Stock.
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
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Ajouter au panierBuch. Etat : Neu. Neuware - The book highlights the importance of using machine learning algorithms for smart intelligent devices, security and privacy issues of the Internet of Things.
Vendeur : Brook Bookstore On Demand, Napoli, NA, Italie
EUR 127,45
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Ajouter au panierEtat : new. Questo è un articolo print on demand.