Da: Books Puddle, New York, NY, U.S.A.
Condizione: New. 2024th edition NO-PA16APR2015-KAP.
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 126,54
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Da: preigu, Osnabrück, Germania
EUR 81,70
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Embedded Machine Learning for Cyber-Physical, IoT, and Edge Computing | Hardware Architectures | Sudeep Pasricha (u. a.) | Taschenbuch | xiv | Englisch | 2024 | Springer | EAN 9783031195709 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Lingua: Inglese
Editore: Springer International Publishing, Springer International Publishing, 2024
ISBN 10: 3031195701 ISBN 13: 9783031195709
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 90,94
Quantità: 1 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book presents recent advances towards the goal of enabling efficient implementation of machine learning models on resource-constrained systems, covering different application domains. The focus is on presenting interesting and new use cases of applying machine learning to innovative application domains, exploring the efficient hardware design of efficient machine learning accelerators, memory optimization techniques, illustrating model compression and neural architecture search techniques for energy-efficient and fast execution on resource-constrained hardware platforms, and understanding hardware-software codesign techniques for achieving even greater energy, reliability, and performance benefits.
Da: Books Puddle, New York, NY, U.S.A.
Condizione: New. 1st ed. 2024 edition NO-PA16APR2015-KAP.
Condizione: New.
Condizione: New.
Da: Buchpark, Trebbin, Germania
EUR 85,23
Quantità: 1 disponibili
Aggiungi al carrelloCondizione: Hervorragend. Zustand: Hervorragend | Seiten: 428 | Sprache: Englisch | Produktart: Bücher | This book presents recent advances towards the goal of enabling efficient implementation of machine learning models on resource-constrained systems, covering different application domains. The focus is on presenting interesting and new use cases of applying machine learning to innovative application domains, exploring the efficient hardware design of efficient machine learning accelerators, memory optimization techniques, illustrating model compression and neural architecture search techniques for energy-efficient and fast execution on resource-constrained hardware platforms, and understanding hardware-software codesign techniques for achieving even greater energy, reliability, and performance benefits.
Da: Majestic Books, Hounslow, Regno Unito
EUR 186,70
Quantità: 1 disponibili
Aggiungi al carrelloCondizione: New.
Da: Revaluation Books, Exeter, Regno Unito
EUR 183,09
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Aggiungi al carrelloHardcover. Condizione: Brand New. 426 pages. 9.25x6.10x9.21 inches. In Stock.
Condizione: New. 2024th edition NO-PA16APR2015-KAP.
Lingua: Inglese
Editore: Springer International Publishing, Springer Nature Switzerland, 2023
ISBN 10: 3031195671 ISBN 13: 9783031195679
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 128,39
Quantità: 1 disponibili
Aggiungi al carrelloBuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book presents recent advances towards the goal of enabling efficient implementation of machine learning models on resource-constrained systems, covering different application domains. The focus is on presenting interesting and new use cases of applying machine learning to innovative application domains, exploring the efficient hardware design of efficient machine learning accelerators, memory optimization techniques, illustrating model compression and neural architecture search techniques for energy-efficient and fast execution on resource-constrained hardware platforms, and understanding hardware-software codesign techniques for achieving even greater energy, reliability, and performance benefits.
Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 186,76
Quantità: 1 disponibili
Aggiungi al carrelloCondizione: New.
Da: preigu, Osnabrück, Germania
EUR 131,05
Quantità: 5 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. Embedded Machine Learning for Cyber-Physical, IoT, and Edge Computing | Software Optimizations and Hardware/Software Codesign | Sudeep Pasricha (u. a.) | Taschenbuch | xiv | Englisch | 2024 | Springer | EAN 9783031399343 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Da: preigu, Osnabrück, Germania
EUR 131,05
Quantità: 5 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. Embedded Machine Learning for Cyber-Physical, IoT, and Edge Computing | Use Cases and Emerging Challenges | Sudeep Pasricha (u. a.) | Taschenbuch | xv | Englisch | 2024 | Springer | EAN 9783031406799 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 199,10
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Aggiungi al carrelloCondizione: New. In.
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 199,10
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Aggiungi al carrelloCondizione: New. In.
Lingua: Inglese
Editore: Springer Nature Switzerland, Springer Nature Switzerland, 2024
ISBN 10: 303139934X ISBN 13: 9783031399343
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 149,79
Quantità: 1 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book presents recent advances towards the goal of enabling efficient implementation of machine learning models on resource-constrained systems, covering different application domains. The focus is on presenting interesting and new use cases of applying machine learning to innovative application domains, exploring the efficient hardware design of efficient machine learning accelerators, memory optimization techniques, illustrating model compression and neural architecture search techniques for energy-efficient and fast execution on resource-constrained hardware platforms, and understanding hardware-software codesign techniques for achieving even greater energy, reliability, and performance benefits.Discusses efficient implementation of machine learning in embedded, CPS, IoT, and edge computing;Offers comprehensive coverage of hardware design, software design, and hardware/software co-design and co-optimization;Describes real applications todemonstrate how embedded, CPS, IoT, and edge applications benefit from machine learning.
Lingua: Inglese
Editore: Springer Nature Switzerland, Springer Nature Switzerland, 2024
ISBN 10: 3031406796 ISBN 13: 9783031406799
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 149,79
Quantità: 1 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book presents recent advances towards thegoal ofenabling efficient implementation ofmachine learning models onresource-constrained systems, covering different application domains. Thefocus is onpresenting interesting and new use cases ofapplying machine learning toinnovative application domains, exploring theefficient hardware design ofefficient machine learning accelerators, memory optimization techniques, illustrating model compression and neural architecture search techniques forenergy-efficient and fast execution on resource-constrained hardware platforms, and understanding hardware-software codesign techniques forachieving even greater energy, reliability, and performance benefits.Discusses efficient implementation ofmachine learning in embedded, CPS, IoT, and edge computing;Offers comprehensive coverage ofhardware design, software design, and hardware/software co-design and co-optimization;Describes real applications todemonstrate how embedded, CPS, IoT, and edge applications benefit frommachine learning.
Condizione: New. pp. 588 1st ed. 2024 edition NO-PA16APR2015-KAP.
Lingua: Inglese
Editore: Springer Nature Switzerland, Springer Nature Switzerland, 2023
ISBN 10: 3031406761 ISBN 13: 9783031406768
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 213,99
Quantità: 1 disponibili
Aggiungi al carrelloBuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book presents recent advances towards thegoal ofenabling efficient implementation ofmachine learning models onresource-constrained systems, covering different application domains. Thefocus is onpresenting interesting and new use cases ofapplying machine learning toinnovative application domains, exploring theefficient hardware design ofefficient machine learning accelerators, memory optimization techniques, illustrating model compression and neural architecture search techniques forenergy-efficient and fast execution on resource-constrained hardware platforms, and understanding hardware-software codesign techniques forachieving even greater energy, reliability, and performance benefits.Discusses efficient implementation ofmachine learning in embedded, CPS, IoT, and edge computing;Offers comprehensive coverage ofhardware design, software design, and hardware/software co-design and co-optimization;Describes real applications todemonstrate how embedded, CPS, IoT, and edge applications benefit frommachine learning.
Lingua: Inglese
Editore: Springer Nature Switzerland, Springer International Publishing, 2023
ISBN 10: 3031399315 ISBN 13: 9783031399312
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 213,99
Quantità: 1 disponibili
Aggiungi al carrelloBuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book presents recent advances towards the goal of enabling efficient implementation of machine learning models on resource-constrained systems, covering different application domains. The focus is on presenting interesting and new use cases of applying machine learning to innovative application domains, exploring the efficient hardware design of efficient machine learning accelerators, memory optimization techniques, illustrating model compression and neural architecture search techniques for energy-efficient and fast execution on resource-constrained hardware platforms, and understanding hardware-software codesign techniques for achieving even greater energy, reliability, and performance benefits.Discusses efficient implementation of machine learning in embedded, CPS, IoT, and edge computing;Offers comprehensive coverage of hardware design, software design, and hardware/software co-design and co-optimization;Describes real applications todemonstrate how embedded, CPS, IoT, and edge applications benefit from machine learning.
Da: Revaluation Books, Exeter, Regno Unito
EUR 304,75
Quantità: 2 disponibili
Aggiungi al carrelloHardcover. Condizione: Brand New. 491 pages. 9.25x6.10x1.30 inches. In Stock.
Da: Revaluation Books, Exeter, Regno Unito
EUR 306,27
Quantità: 2 disponibili
Aggiungi al carrelloHardcover. Condizione: Brand New. 586 pages. 9.25x6.10x9.21 inches. In Stock.
Da: Brook Bookstore On Demand, Napoli, NA, Italia
EUR 74,24
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: new. Questo è un articolo print on demand.
Da: Brook Bookstore On Demand, Napoli, NA, Italia
EUR 102,25
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: new. Questo è un articolo print on demand.
Lingua: Inglese
Editore: Springer International Publishing, Springer International Publishing Okt 2024, 2024
ISBN 10: 3031195701 ISBN 13: 9783031195709
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
EUR 90,94
Quantità: 2 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book presents recent advances towards the goal of enabling efficient implementation of machine learning models on resource-constrained systems, covering different application domains. The focus is on presenting interesting and new use cases of applying machine learning to innovative application domains, exploring the efficient hardware design of efficient machine learning accelerators, memory optimization techniques, illustrating model compression and neural architecture search techniques for energy-efficient and fast execution on resource-constrained hardware platforms, and understanding hardware-software codesign techniques for achieving even greater energy, reliability, and performance benefits. 428 pp. Englisch.
Da: Majestic Books, Hounslow, Regno Unito
EUR 115,65
Quantità: 4 disponibili
Aggiungi al carrelloCondizione: New. Print on Demand.
Da: Brook Bookstore On Demand, Napoli, NA, Italia
EUR 118,26
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: new. Questo è un articolo print on demand.
Da: Brook Bookstore On Demand, Napoli, NA, Italia
EUR 118,26
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: new. Questo è un articolo print on demand.