Handbook of Deep Learning Applications - Couverture rigide

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Balas

9783030114787: Handbook of Deep Learning Applications

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ISBN 10 : 3030114783 ISBN 13 : 9783030114787

Editeur : Springer, 2019

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This book presents a broad range of deep-learning applications related to vision, natural language processing, gene expression, arbitrary object recognition, driverless cars, semantic image segmentation, deep visual residual abstraction, brain-computer interfaces, big data processing, hierarchical deep learning networks as game-playing artefacts using regret matching, and building GPU-accelerated deep learning frameworks. Deep learning, an advanced level of machine learning technique that combines class of learning algorithms with the use of many layers of nonlinear units, has gained considerable attention in recent times. Unlike other books on the market, this volume addresses the challenges of deep learning implementation, computation time, and the complexity of reasoning and modeling different type of data. As such, it is a valuable and comprehensive resource for engineers, researchers, graduate students and Ph.D. scholars.

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�diteur: Springer
Date d'�dition: 2019
Langue: anglais
ISBN 10: 3030114783
ISBN 13: 9783030114787
Reliure: Reli�
Nombre de pages: 392
Coordonn�es du fabricant: ProductSafety@springernature.com
ProductSafety@springernature.com

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Handbook of Deep Learning Applications (eng)

Sharma, Dharmendra

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Handbook of Deep Learning Applications (Smart Innovation, Systems and Technologies, 136)

Balas

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Handbook of Deep Learning Applications

Balas, Valentina Emilia (EDT); Roy, Sanjiban Sekhar (EDT); Sharma, Dharmendra (EDT); Samui, Pijush (EDT)

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Handbook of Deep Learning Applications

Balas, Valentina E.|Roy, Sanjiban Sekhar|Sharma, Dharmendra|Samui, Pijush

Edit� par Springer International Publishing, 2019

ISBN 10 : 3030114783 ISBN 13 : 9783030114787

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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Provides a concise and structured presentation of deep learning applicationsIntroduces a large range of applications related to vision, speech, and natural language processingIncludes active research trends, challenges, and future direction. N� de r�f. du vendeur 258911308

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Handbook of Deep Learning Applications

Valentina Emilia Balas

Edit� par Springer International Publishing, Springer Nature Switzerland M�r 2019, 2019

ISBN 10 : 3030114783 ISBN 13 : 9783030114787

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Buch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book presents a broad range of deep-learning applications related to vision, natural language processing, gene expression, arbitrary object recognition, driverless cars, semantic image segmentation, deep visual residual abstraction, brain-computer interfaces, big data processing, hierarchical deep learning networks as game-playing artefacts using regret matching, and building GPU-accelerated deep learning frameworks. Deep learning, an advanced level of machine learning technique that combines class of learning algorithms with the use of many layers of nonlinear units, has gained considerable attention in recent times. Unlike other books on the market, this volume addresses the challenges of deep learning implementation, computation time, and the complexity of reasoning and modeling different type of data. As such, it is a valuable and comprehensive resource for engineers, researchers, graduate students and Ph.D. scholars. 392 pp. Englisch. N� de r�f. du vendeur 9783030114787

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Handbook of Deep Learning Applications

Balas, Valentina Emilia (EDT); Roy, Sanjiban Sekhar (EDT); Sharma, Dharmendra (EDT); Samui, Pijush (EDT)

Edit� par Springer, 2019

ISBN 10 : 3030114783 ISBN 13 : 9783030114787

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Handbook of Deep Learning Applications (Smart Innovation, Systems and Technologies)

Balas

Edit� par Springer, 2019

ISBN 10 : 3030114783 ISBN 13 : 9783030114787

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Handbook of Deep Learning Applications

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Edit� par Palgrave Macmillan, 2019

ISBN 10 : 3030114783 ISBN 13 : 9783030114787

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Etat : Hervorragend. Zustand: Hervorragend | Seiten: 392 | Sprache: Englisch | Produktart: B�cher | This book presents a broad range of deep-learning applications related to vision, natural language processing, gene expression, arbitrary object recognition, driverless cars, semantic image segmentation, deep visual residual abstraction, brain�computer interfaces, big data processing, hierarchical deep learning networks as game-playing artefacts using regret matching, and building GPU-accelerated deep learning frameworks. Deep learning, an advanced level of machine learning technique that combines class of learning algorithms with the use of many layers of nonlinear units, has gained considerable attention in recent times. Unlike other books on the market, this volume addresses the challenges of deep learning implementation, computation time, and the complexity of reasoning and modeling different type of data. As such, it is a valuable and comprehensive resource for engineers, researchers, graduate students and Ph.D. scholars. N� de r�f. du vendeur 33311724/1

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Handbook Of Deep Learning Applications

Balas Valentina

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ISBN 10 : 3030114783 ISBN 13 : 9783030114787

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Handbook of Deep Learning Applications

Valentina Emilia Balas

Edit� par Springer, Springer M�r 2019, 2019

ISBN 10 : 3030114783 ISBN 13 : 9783030114787

Neuf Couverture rigide

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Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne

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Buch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book presents a broad range of deep-learning applications related to vision, natural language processing, gene expression, arbitrary object recognition, driverless cars, semantic image segmentation, deep visual residual abstraction, brain�computer interfaces, big data processing, hierarchical deep learning networks as game-playing artefacts using regret matching, and building GPU-accelerated deep learning frameworks. Deep learning, an advanced level of machine learning technique that combines class of learning algorithms with the use of many layers of nonlinear units, has gained considerable attention in recent times. Unlike other books on the market, this volume addresses the challenges of deep learning implementation, computation time, and the complexity of reasoning and modeling different type of data. As such, it is a valuable and comprehensive resource for engineers, researchers, graduate students and Ph.D. scholars.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 392 pp. Englisch. N� de r�f. du vendeur 9783030114787

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