Seller: Majestic Books, Hounslow, United Kingdom
US$ 249.86
Quantity: 3 available
Add to basketCondition: New. pp. 575.
Seller: Books Puddle, New York, NY, U.S.A.
Condition: New. pp. 575.
Condition: New.
Seller: Biblios, Frankfurt am main, HESSE, Germany
Condition: New. pp. 575.
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
US$ 295.13
Quantity: Over 20 available
Add to basketCondition: New.
Taschenbuch. Condition: Neu. Memristive Devices for Brain-Inspired Computing | From Materials, Devices, and Circuits to Applications - Computational Memory, Deep Learning, and Spiking Neural Networks | Sabina Spiga (u. a.) | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2020 | Woodhead Publishing | EAN 9780081027820 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
Seller: Ria Christie Collections, Uxbridge, United Kingdom
US$ 317.22
Quantity: Over 20 available
Add to basketCondition: New. In.
Condition: As New. Unread book in perfect condition.
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
US$ 354.04
Quantity: Over 20 available
Add to basketCondition: As New. Unread book in perfect condition.
Seller: Brook Bookstore On Demand, Napoli, NA, Italy
Condition: new. Questo è un articolo print on demand.
Language: English
Published by Elsevier Science & Technology, Woodhead Publishing, 2020
ISBN 10: 0081027826 ISBN 13: 9780081027820
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Taschenbuch. 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.
Seller: Revaluation Books, Exeter, United Kingdom
US$ 264.75
Quantity: 2 available
Add to basketPaperback. Condition: Brand New. 575 pages. 9.00x6.00x1.10 inches. In Stock. This item is printed on demand.
Language: English
Published by Elsevier Science & Technology|Woodhead Publishing, 2020
ISBN 10: 0081027826 ISBN 13: 9780081027820
Seller: moluna, Greven, Germany
US$ 265.56
Quantity: Over 20 available
Add to basketKartoniert / Broschiert. Condition: 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.
Language: English
Published by Elsevier Science & Technology, Woodhead Publishing, 2020
ISBN 10: 0081027826 ISBN 13: 9780081027820
Seller: AHA-BUCH GmbH, Einbeck, Germany
Taschenbuch. 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.