Librería: Universitätsbuchhandlung Herta Hold GmbH, Berlin, Alemania
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Añadir al carritoXII, 360 p. Hardcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Studies in Computational Intelligence, 865. Sprache: Englisch.
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Añadir al carritoBrand new book. Fast ship. Please provide full street address as we are not able to ship to P O box address.
EUR 137,04
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EUR 138,55
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Añadir al carritoHardcover. Condición: New. New. book.
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Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 188,00
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Librería: GreatBookPricesUK, Woodford Green, Reino Unido
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Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 196,18
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Añadir al carritoCondición: As New. Unread book in perfect condition.
Publicado por Springer Nature Switzerland AG, Cham, 2020
ISBN 10: 3030317625 ISBN 13: 9783030317621
Idioma: Inglés
Librería: Grand Eagle Retail, Mason, OH, Estados Unidos de America
EUR 211,22
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Añadir al carritoPaperback. Condición: new. Paperback. This book presents a wealth of deep-learning algorithms and demonstrates their design process. It also highlights the need for a prudent alignment with the essential characteristics of the nature of learning encountered in the practical problems being tackled. Intended for readers interested in acquiring practical knowledge of analysis, design, and deployment of deep learning solutions to real-world problems, it covers a wide range of the paradigms algorithms and their applications in diverse areas including imaging, seismic tomography, smart grids, surveillance and security, and health care, among others. Featuring systematic and comprehensive discussions on the development processes, their evaluation, and relevance, the book offers insights into fundamental design strategies for algorithms of deep learning. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Publicado por Springer Nature Switzerland AG, Cham, 2019
ISBN 10: 3030317595 ISBN 13: 9783030317591
Idioma: Inglés
Librería: Grand Eagle Retail, Mason, OH, Estados Unidos de America
EUR 211,22
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Añadir al carritoHardcover. Condición: new. Hardcover. This book presents a wealth of deep-learning algorithms and demonstrates their design process. It also highlights the need for a prudent alignment with the essential characteristics of the nature of learning encountered in the practical problems being tackled. Intended for readers interested in acquiring practical knowledge of analysis, design, and deployment of deep learning solutions to real-world problems, it covers a wide range of the paradigms algorithms and their applications in diverse areas including imaging, seismic tomography, smart grids, surveillance and security, and health care, among others. Featuring systematic and comprehensive discussions on the development processes, their evaluation, and relevance, the book offers insights into fundamental design strategies for algorithms of deep learning. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 196,50
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Añadir al carritoCondición: As New. Unread book in perfect condition.
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 220,27
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EUR 228,50
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Librería: Books Puddle, New York, NY, Estados Unidos de America
EUR 229,10
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Añadir al carritoCondición: New. pp. XII, 360 171 illus., 139 illus. in color. 1 Edition NO-PA16APR2015-KAP.
Librería: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
EUR 228,27
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Añadir al carritoCondición: New. 2020. Paperback. . . . . .
Publicado por Springer Nature Switzerland AG, 2019
ISBN 10: 3030317595 ISBN 13: 9783030317591
Idioma: Inglés
Librería: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
Original o primera edición
EUR 228,72
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Añadir al carritoCondición: New. 2019. 1st ed. 2020. Hardcover. . . . . .
Publicado por Springer International Publishing, Springer International Publishing Nov 2020, 2020
ISBN 10: 3030317625 ISBN 13: 9783030317621
Idioma: Inglés
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
EUR 181,89
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Añadir al carritoTaschenbuch. Condición: Neu. Neuware -This book presents a wealth of deep-learning algorithms and demonstrates their design process. It also highlights the need for a prudent alignment with the essential characteristics of the nature of learning encountered in the practical problems being tackled. Intended for readers interested in acquiring practical knowledge of analysis, design, and deployment of deep learning solutions to real-world problems, it covers a wide range of the paradigm¿s algorithms and their applications in diverse areas including imaging, seismic tomography, smart grids, surveillance and security, and health care, among others. Featuring systematic and comprehensive discussions on the development processes, their evaluation, and relevance, the book offers insights into fundamental design strategies for algorithms of deep learning.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 372 pp. Englisch.
Publicado por Springer International Publishing, 2020
ISBN 10: 3030317625 ISBN 13: 9783030317621
Idioma: Inglés
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 181,89
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Añadir al carritoTaschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book presents a wealth of deep-learning algorithms and demonstrates their design process. It also highlights the need for a prudent alignment with the essential characteristics of the nature of learning encountered in the practical problems being tackled. Intended for readers interested in acquiring practical knowledge of analysis, design, and deployment of deep learning solutions to real-world problems, it covers a wide range of the paradigm's algorithms and their applications in diverse areas including imaging, seismic tomography, smart grids, surveillance and security, and health care, among others. Featuring systematic and comprehensive discussions on the development processes, their evaluation, and relevance, the book offers insights into fundamental design strategies for algorithms of deep learning.
Librería: Mispah books, Redhill, SURRE, Reino Unido
EUR 251,62
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Añadir al carritoPaperback. Condición: New. New. book.
Publicado por Springer Nature Switzerland AG, 2019
ISBN 10: 3030317595 ISBN 13: 9783030317591
Idioma: Inglés
Librería: Kennys Bookstore, Olney, MD, Estados Unidos de America
EUR 287,66
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Añadir al carritoCondición: New. 2019. 1st ed. 2020. Hardcover. . . . . . Books ship from the US and Ireland.
Librería: Kennys Bookstore, Olney, MD, Estados Unidos de America
EUR 287,96
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Añadir al carritoCondición: New. 2020. Paperback. . . . . . Books ship from the US and Ireland.
EUR 273,50
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Añadir al carritoPaperback. Condición: Brand New. 372 pages. 9.25x6.10x0.88 inches. In Stock.
Librería: Revaluation Books, Exeter, Reino Unido
EUR 275,53
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Añadir al carritoHardcover. Condición: Brand New. 372 pages. 9.25x6.10x1.02 inches. In Stock.
Publicado por Springer Nature Switzerland AG, Cham, 2020
ISBN 10: 3030317625 ISBN 13: 9783030317621
Idioma: Inglés
Librería: AussieBookSeller, Truganina, VIC, Australia
EUR 330,41
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Añadir al carritoPaperback. Condición: new. Paperback. This book presents a wealth of deep-learning algorithms and demonstrates their design process. It also highlights the need for a prudent alignment with the essential characteristics of the nature of learning encountered in the practical problems being tackled. Intended for readers interested in acquiring practical knowledge of analysis, design, and deployment of deep learning solutions to real-world problems, it covers a wide range of the paradigms algorithms and their applications in diverse areas including imaging, seismic tomography, smart grids, surveillance and security, and health care, among others. Featuring systematic and comprehensive discussions on the development processes, their evaluation, and relevance, the book offers insights into fundamental design strategies for algorithms of deep learning. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Publicado por Springer Nature Switzerland AG, Cham, 2019
ISBN 10: 3030317595 ISBN 13: 9783030317591
Idioma: Inglés
Librería: AussieBookSeller, Truganina, VIC, Australia
EUR 333,85
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Añadir al carritoHardcover. Condición: new. Hardcover. This book presents a wealth of deep-learning algorithms and demonstrates their design process. It also highlights the need for a prudent alignment with the essential characteristics of the nature of learning encountered in the practical problems being tackled. Intended for readers interested in acquiring practical knowledge of analysis, design, and deployment of deep learning solutions to real-world problems, it covers a wide range of the paradigms algorithms and their applications in diverse areas including imaging, seismic tomography, smart grids, surveillance and security, and health care, among others. Featuring systematic and comprehensive discussions on the development processes, their evaluation, and relevance, the book offers insights into fundamental design strategies for algorithms of deep learning. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.