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Paperback. Condition: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less 1.65.
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US$ 249.13
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Add to basketCondition: New. pp. 575.
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Add to basketPaperback. Condition: Brand New. 575 pages. 9.00x6.00x1.10 inches. In Stock.
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Condition: New. pp. 575.
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US$ 292.23
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US$ 300.76
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Memristive Devices for Brain-inspired Computing : From Materials, Devices, and Circuits to Applications - Computational Memory, Deep Learning, and Spiking Neural Networks
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
US$ 299.70
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Memristive Devices for Brain-Inspired Computing: From Materials, Devices, and Circuits to Applications - Computational Memory, Deep Learning, and ... Series in Electronic and Optical Materials)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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US$ 319.48
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US$ 340.10
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Add to basketCondition: As New. Unread book in perfect condition.
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Memristive Devices for Brain-inspired Computing : From Materials, Devices, and Circuits to Applications - Computational Memory, Deep Learning, and Spiking Neural Networks
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
US$ 349.39
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Memristive Devices for Brain-Inspired Computing
Published by Elsevier Science & Technology, Woodhead Publishing, 2020
ISBN 10: 0081027826 ISBN 13: 9780081027820
Language: English
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
US$ 254.53
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Add to basketTaschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Memristive Devices for Brain-Inspired Computing: From Materials, Devices, and Circuits to Applications-Computational Memory, Deep Learning, and Spiking Neural Networks reviews the latest in material and devices engineering for optimizing memristive devices beyond storage applications and toward brain-inspired computing. The book provides readers with an understanding of four key concepts, including materials and device aspects with a view of current materials systems and their remaining barriers, algorithmic aspects comprising basic concepts of neuroscience as well as various computing concepts, the circuits and architectures implementing those algorithms based on memristive technologies, and target applications, including brain-inspired computing, computational memory, and deep learning. This comprehensive book is suitable for an interdisciplinary audience, including materials scientists, physicists, electrical engineers, and computer scientists. Englisch.
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Memristive Devices for Brain-Inspired Computing: From Materials, Devices and Circuits to Applications - Computational Memory, Deep Learning, and Spiki
Published by Elsevier Science & Technology|Woodhead Publishing, 2020
ISBN 10: 0081027826 ISBN 13: 9780081027820
Language: English
US$ 250.08
Convert currencyUS$ 55.03 shipping from Germany to U.S.A.Quantity: Over 20 available
Add to basketCondition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Memristive Devices for Brain-Inspired Computing: From Materials, Devices, and Circuits to Applications-Computational Memory, Deep Learning, and Spiking Neural Networks reviews the latest in material and devices engineering for optimizing memristiv.
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Memristive Devices for Brain-Inspired Computing : From Materials, Devices, and Circuits to Applications - Computational Memory, Deep Learning, and Spiking Neural Networks
Published by Elsevier Science & Technology, Woodhead Publishing, 2020
ISBN 10: 0081027826 ISBN 13: 9780081027820
Language: English
US$ 275.28
Convert currencyUS$ 36.55 shipping from Germany to U.S.A.Quantity: 2 available
Add to basketTaschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Memristive Devices for Brain-Inspired Computing: From Materials, Devices, and Circuits to Applications-Computational Memory, Deep Learning, and Spiking Neural Networks reviews the latest in material and devices engineering for optimizing memristive devices beyond storage applications and toward brain-inspired computing. The book provides readers with an understanding of four key concepts, including materials and device aspects with a view of current materials systems and their remaining barriers, algorithmic aspects comprising basic concepts of neuroscience as well as various computing concepts, the circuits and architectures implementing those algorithms based on memristive technologies, and target applications, including brain-inspired computing, computational memory, and deep learning. This comprehensive book is suitable for an interdisciplinary audience, including materials scientists, physicists, electrical engineers, and computer scientists.
