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Condition: As New. Unread book in perfect condition.
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Condition: New. pages cm First edition Includes bibliographical references and index.
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Condition: New. pages cm.
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Machine Learning for Edge Computing : Frameworks, Patterns and Best Practices
Book 9 of 9: Edge AI in Future ComputingSeller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: As New. Unread book in perfect condition.
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Condition: As New. Unread book in perfect condition.
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Machine Learning for Edge Computing: Frameworks, Patterns and Best Practices
Book 9 of 9: Edge AI in Future ComputingLanguage: English
Published by Taylor & Francis Ltd, 2024
ISBN 10: 0367698331 ISBN 13: 9780367698331
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Seller rating 5 out of 5 stars
Paperback / softback. Condition: New. New copy - Usually dispatched within 4 working days. 370.
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Machine Learning for Edge Computing : Frameworks, Patterns and Best Practices
Book 9 of 9: Edge AI in Future ComputingSeller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: New.
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Condition: New. 2024th edition NO-PA16APR2015-KAP.
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Condition: New. 1st edition NO-PA16APR2015-KAP.
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Machine Learning for Edge Computing: Frameworks, Patterns and Best Practices
Book 9 of 9: Edge AI in Future ComputingLanguage: English
Published by Taylor & Francis Ltd, 2022
ISBN 10: 0367694328 ISBN 13: 9780367694326
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Seller rating 5 out of 5 stars
Hardback. Condition: New. New copy - Usually dispatched within 4 working days. 185.
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Machine Learning for Edge Computing : Frameworks, Patterns and Best Practices
Book 9 of 9: Edge AI in Future ComputingSeller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: As New. Unread book in perfect condition.
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Machine Learning for Edge Computing : Frameworks, Patterns and Best Practices
Book 9 of 9: Edge AI in Future ComputingSeller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: New.
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Condition: New. 1st edition NO-PA16APR2015-KAP.
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Embedded Machine Learning for Cyber-Physical, IoT, and Edge Computing | Hardware Architectures
Language: English
Published by Springer Nature Switzerland, 2024
ISBN 10: 3031195701 ISBN 13: 9783031195709
Taschenbuch. Condition: Neu. Embedded Machine Learning for Cyber-Physical, IoT, and Edge Computing | Hardware Architectures | Muhammad Shafique (u. a.) | Taschenbuch | xiv | Englisch | 2024 | Springer Nature Switzerland | EAN 9783031195709 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Embedded Machine Learning for Cyber-Physical, IoT, and Edge Computing
Language: English
Published by Springer International Publishing, Springer Nature Switzerland Okt 2024, 2024
ISBN 10: 3031195701 ISBN 13: 9783031195709
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: 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.
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Condition: New.
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Embedded Machine Learning for Cyber-Physical, IoT, and Edge Computing : Hardware Architectures
Language: English
Published by Springer International Publishing, Springer International Publishing, 2024
ISBN 10: 3031195701 ISBN 13: 9783031195709
Taschenbuch. Condition: 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.
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Condition: New. 1st edition NO-PA16APR2015-KAP.
