Editore: Springer International Publishing, 2023
ISBN 10: 3031195671 ISBN 13: 9783031195679
Lingua: Inglese
Da: Buchpark, Trebbin, Germania
Condizione: Hervorragend. Zustand: Hervorragend | Sprache: Englisch | Produktart: Bücher.
Editore: Springer International Publishing, Springer International Publishing, 2024
ISBN 10: 3031195701 ISBN 13: 9783031195709
Lingua: Inglese
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 90,94
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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.
Editore: Springer International Publishing, Springer Nature Switzerland Okt 2024, 2024
ISBN 10: 3031195701 ISBN 13: 9783031195709
Lingua: Inglese
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
EUR 90,94
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. 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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 428 pp. Englisch.
Da: Books Puddle, New York, NY, U.S.A.
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Da: ALLBOOKS1, Direk, SA, Australia
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Da: Books Puddle, New York, NY, U.S.A.
EUR 122,02
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Aggiungi al carrelloCondizione: New. 2024th edition NO-PA16APR2015-KAP.
Da: GreatBookPrices, Columbia, MD, U.S.A.
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Da: Ria Christie Collections, Uxbridge, Regno Unito
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Da: California Books, Miami, FL, U.S.A.
EUR 136,42
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Editore: Springer International Publishing, Springer Nature Switzerland, 2023
ISBN 10: 3031195671 ISBN 13: 9783031195679
Lingua: Inglese
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 128,39
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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.
Editore: Springer International Publishing, Springer Nature Switzerland Okt 2023, 2023
ISBN 10: 3031195671 ISBN 13: 9783031195679
Lingua: Inglese
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
EUR 128,39
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Aggiungi al carrelloBuch. Condizione: Neu. 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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 428 pp. Englisch.
Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 142,75
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Editore: Springer Nature Switzerland, Springer Nature Switzerland, 2024
ISBN 10: 303139934X ISBN 13: 9783031399343
Lingua: Inglese
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 149,79
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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.
Editore: Springer Nature Switzerland, Springer Nature Switzerland, 2024
ISBN 10: 3031406796 ISBN 13: 9783031406799
Lingua: Inglese
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 149,79
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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.
Editore: Springer Nature Switzerland, Springer Nature Switzerland Okt 2024, 2024
ISBN 10: 303139934X ISBN 13: 9783031399343
Lingua: Inglese
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
EUR 149,79
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. 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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 492 pp. Englisch.
Editore: Springer Nature Switzerland, Springer Nature Switzerland Okt 2024, 2024
ISBN 10: 3031406796 ISBN 13: 9783031406799
Lingua: Inglese
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
EUR 149,79
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. 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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 588 pp. Englisch.
Da: Basi6 International, Irving, TX, U.S.A.
EUR 169,00
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Aggiungi al carrelloCondizione: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.
Da: Books Puddle, New York, NY, U.S.A.
EUR 173,34
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Da: ALLBOOKS1, Direk, SA, Australia
EUR 188,20
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Aggiungi al carrelloBrand new book. Fast ship. Please provide full street address as we are not able to ship to P O box address.
Da: Majestic Books, Hounslow, Regno Unito
EUR 182,11
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Da: Revaluation Books, Exeter, Regno Unito
EUR 182,51
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Aggiungi al carrelloHardcover. Condizione: Brand New. 426 pages. 9.25x6.10x9.21 inches. In Stock.
Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 186,09
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Da: Books Puddle, New York, NY, U.S.A.
EUR 196,24
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Editore: Springer International Publishing AG, Cham, 2023
ISBN 10: 3031195671 ISBN 13: 9783031195679
Lingua: Inglese
Da: Grand Eagle Retail, Mason, OH, U.S.A.
EUR 139,05
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Aggiungi al carrelloHardcover. Condizione: new. Hardcover. 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Da: Books Puddle, New York, NY, U.S.A.
EUR 197,14
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Aggiungi al carrelloCondizione: New. 2024th edition NO-PA16APR2015-KAP.
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 193,52
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Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 193,52
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Da: ALLBOOKS1, Direk, SA, Australia
EUR 212,00
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Aggiungi al carrelloBrand new book. Fast ship. Please provide full street address as we are not able to ship to P O box address.