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9783030367206 - Deep Learning Architectures: A Mathematical Approach di Calin, Ovidiu (32 risultati)
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Deep Learning Architectures: A Mathematical Approach (Springer Series in the Data Sciences)
Libro 4 di 11: Springer Series in the Data SciencesDa: 3Brothers Bookstore, Egg harbor township, NJ, U.S.A.
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Condizione: very_good. Cover may have light wear, pages in very good condition and binding is sturdy; may have other light shelf wear or creases. May have notes or highlighting.
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Deep Learning Architectures: A Mathematical Approach (Springer Series in the Data Sciences)
Libro 4 di 11: Springer Series in the Data SciencesDa: Books From California, Simi Valley, CA, U.S.A.
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hardcover. Condizione: Very Good.
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Deep Learning Architectures
Libro 4 di 11: Springer Series in the Data SciencesDa: Romtrade Corp., STERLING HEIGHTS, MI, U.S.A.
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Condizione: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.
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Deep Learning Architectures
Libro 4 di 11: Springer Series in the Data SciencesDa: Basi6 International, Irving, TX, U.S.A.
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Condizione: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.
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Deep Learning Architectures
Libro 4 di 11: Springer Series in the Data SciencesDa: Basi6 International, Irving, TX, U.S.A.
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Condizione: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.
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Condizione: New. Brand New Original US Edition. Customer service! Satisfaction Guaranteed.
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Condizione: New. Brand New Original US Edition. Customer service! Satisfaction Guaranteed.
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Deep Learning Architectures : A Mathematical Approach
Libro 4 di 11: Springer Series in the Data SciencesDa: GreatBookPrices, Columbia, MD, U.S.A.
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Condizione: New.
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Deep Learning Architectures
Libro 4 di 11: Springer Series in the Data SciencesLingua: Inglese
Editore: Springer Nature Switzerland AG, 2020
ISBN 10: 3030367207 ISBN 13: 9783030367206
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HRD. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
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Deep Learning Architectures
Libro 4 di 11: Springer Series in the Data SciencesLingua: Inglese
Editore: Springer Nature Switzerland AG, 2020
ISBN 10: 3030367207 ISBN 13: 9783030367206
Da: PBShop.store UK, Fairford, GLOS, Regno Unito
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EUR 92,79
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Aggiungi al carrelloHRD. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
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Deep Learning Architectures
Libro 4 di 11: Springer Series in the Data SciencesDa: Majestic Books, Hounslow, Regno Unito
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EUR 96,02
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Aggiungi al carrelloCondizione: New. pp. XXX, 760 213 illus., 35 illus. in color.
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Deep Learning Architectures: A Mathematical Approach (Springer Series in the Data Sciences)
Libro 4 di 11: Springer Series in the Data SciencesDa: Chiron Media, Wallingford, Regno Unito
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EUR 85,50
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Deep Learning Architectures
Libro 4 di 11: Springer Series in the Data SciencesDa: Books Puddle, New York, NY, U.S.A.
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Condizione: New. pp. XXX, 760 213 illus., 35 illus. in color. 1 Edition NO-PA16APR2015-KAP.
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Deep Learning Architectures : A Mathematical Approach
Libro 4 di 11: Springer Series in the Data SciencesDa: GreatBookPrices, Columbia, MD, U.S.A.
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Condizione: As New. Unread book in perfect condition.
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Deep Learning Architectures
Libro 4 di 11: Springer Series in the Data SciencesDa: Biblios, Frankfurt am main, HESSE, Germania
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EUR 97,27
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Aggiungi al carrelloCondizione: New. pp. XXX, 760 213 illus., 35 illus. in color.
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Deep Learning Architectures : A Mathematical Approach
Libro 4 di 11: Springer Series in the Data SciencesDa: GreatBookPricesUK, Woodford Green, Regno Unito
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EUR 92,78
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DEEP LEARNING ARCHITECTURES
Libro 4 di 11: Springer Series in the Data SciencesDa: Speedyhen LLC, Hialeah, FL, U.S.A.
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Deep Learning Architectures: A Mathematical Approach (Springer Series in the Data Sciences)
Libro 4 di 11: Springer Series in the Data SciencesDa: Ria Christie Collections, Uxbridge, Regno Unito
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EUR 101,78
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Deep Learning Architectures (Hardcover)
Libro 4 di 11: Springer Series in the Data SciencesLingua: Inglese
Editore: Springer Nature Switzerland AG, Cham, 2020
ISBN 10: 3030367207 ISBN 13: 9783030367206
Da: Grand Eagle Retail, Bensenville, IL, U.S.A.
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Prima edizione
Hardcover. Condizione: new. Hardcover. This book describes how neural networks operate from the mathematical point of view. As a result, neural networks can be interpreted both as function universal approximators and information processors. The book bridges the gap between ideas and concepts of neural networks, which are used nowadays at an intuitive level, and the precise modern mathematical language, presenting the best practices of the former and enjoying the robustness and elegance of the latter.This book can be used in a graduate course in deep learning, with the first few parts being accessible to senior undergraduates. In addition, the book will be of wide interest to machine learning researchers who are interested in a theoretical understanding of the subject. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Deep Learning Architectures : A Mathematical Approach
Libro 4 di 11: Springer Series in the Data SciencesDa: GreatBookPricesUK, Woodford Green, Regno Unito
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EUR 106,33
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Deep Learning Architectures
Libro 4 di 11: Springer Series in the Data SciencesLingua: Inglese
Editore: Springer Nature Switzerland AG, CH, 2020
ISBN 10: 3030367207 ISBN 13: 9783030367206
Hardback. Condizione: New. 1st ed. 2020. This book describes how neural networks operate from the mathematical point of view. As a result, neural networks can be interpreted both as function universal approximators and information processors. The book bridges the gap between ideas and concepts of neural networks, which are used nowadays at an intuitive level, and the precise modern mathematical language, presenting the best practices of the former and enjoying the robustness and elegance of the latter.This book can be used in a graduate course in deep learning, with the first few parts being accessible to senior undergraduates. In addition, the book will be of wide interest to machine learning researchers who are interested in a theoretical understanding of the subject.
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DEEP LEARNING ARCHITECTURES
Libro 4 di 11: Springer Series in the Data SciencesDa: Speedyhen, Hertfordshire, Regno Unito
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Deep Learning Architectures
Libro 4 di 11: Springer Series in the Data SciencesLingua: Inglese
Editore: Springer Nature Switzerland AG, CH, 2020
ISBN 10: 3030367207 ISBN 13: 9783030367206
Da: Rarewaves.com USA, London, LONDO, Regno Unito
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EUR 146,93
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Aggiungi al carrelloHardback. Condizione: New. 1st ed. 2020. This book describes how neural networks operate from the mathematical point of view. As a result, neural networks can be interpreted both as function universal approximators and information processors. The book bridges the gap between ideas and concepts of neural networks, which are used nowadays at an intuitive level, and the precise modern mathematical language, presenting the best practices of the former and enjoying the robustness and elegance of the latter.This book can be used in a graduate course in deep learning, with the first few parts being accessible to senior undergraduates. In addition, the book will be of wide interest to machine learning researchers who are interested in a theoretical understanding of the subject.
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Deep Learning Architectures
Libro 4 di 11: Springer Series in the Data SciencesLingua: Inglese
Editore: Springer International Publishing, 2020
ISBN 10: 3030367207 ISBN 13: 9783030367206
EUR 106,22
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Aggiungi al carrelloCondizione: New. Contains a fair number of end-of chapter exercisesFull solutions provided to all exercisesAppendices including topics needed in the book expositionContains a fair number of end-of chapter ex.
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Deep Learning Architectures: A Mathematical Approach (Springer Series in the Data Sciences)
Libro 4 di 11: Springer Series in the Data SciencesDa: Mispah books, Redhill, SURRE, Regno Unito
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EUR 145,47
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Aggiungi al carrelloHardcover. Condizione: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
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Deep Learning Architectures
Libro 4 di 11: Springer Series in the Data SciencesLingua: Inglese
Editore: Springer Nature Switzerland AG, CH, 2020
ISBN 10: 3030367207 ISBN 13: 9783030367206
Da: Rarewaves USA United, OSWEGO, IL, U.S.A.
Valutazione del venditore 5 su 5 stelle
Hardback. Condizione: New. 1st ed. 2020. This book describes how neural networks operate from the mathematical point of view. As a result, neural networks can be interpreted both as function universal approximators and information processors. The book bridges the gap between ideas and concepts of neural networks, which are used nowadays at an intuitive level, and the precise modern mathematical language, presenting the best practices of the former and enjoying the robustness and elegance of the latter.This book can be used in a graduate course in deep learning, with the first few parts being accessible to senior undergraduates. In addition, the book will be of wide interest to machine learning researchers who are interested in a theoretical understanding of the subject.
-
Deep Learning Architectures : A Mathematical Approach
Libro 4 di 11: Springer Series in the Data SciencesLingua: Inglese
Editore: Springer Nature Switzerland AG, 2020
ISBN 10: 3030367207 ISBN 13: 9783030367206
EUR 106,99
Spedizione EUR 68,72
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Aggiungi al carrelloBuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book describes how neural networks operate from the mathematical point of view. As a result, neural networks can be interpreted both as function universal approximators and information processors. The book bridges the gap between ideas and concepts of neural networks, which are used nowadays at an intuitive level, and the precise modern mathematical language, presenting the best practices of the former and enjoying the robustness and elegance of the latter.This book can be used in a graduate course in deep learning, with the first few parts being accessible to senior undergraduates. In addition, the book will be of wide interest to machine learning researchers who are interested in a theoretical understanding of the subject.
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Deep Learning Architectures | A Mathematical Approach
Libro 4 di 11: Springer Series in the Data SciencesLingua: Inglese
Editore: Springer Nature Switzerland AG, 2020
ISBN 10: 3030367207 ISBN 13: 9783030367206
EUR 118,00
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Aggiungi al carrelloBuch. Condizione: Neu. Deep Learning Architectures | A Mathematical Approach | Ovidiu Calin | Buch | Springer Series in the Data Sciences | xxx | Englisch | 2020 | Springer Nature Switzerland AG | EAN 9783030367206 | 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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Deep Learning Architectures (Hardcover)
Libro 4 di 11: Springer Series in the Data SciencesLingua: Inglese
Editore: Springer Nature Switzerland AG, Cham, 2020
ISBN 10: 3030367207 ISBN 13: 9783030367206
Da: AussieBookSeller, Truganina, VIC, Australia
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Prima edizione
EUR 182,97
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Aggiungi al carrelloHardcover. Condizione: new. Hardcover. This book describes how neural networks operate from the mathematical point of view. As a result, neural networks can be interpreted both as function universal approximators and information processors. The book bridges the gap between ideas and concepts of neural networks, which are used nowadays at an intuitive level, and the precise modern mathematical language, presenting the best practices of the former and enjoying the robustness and elegance of the latter.This book can be used in a graduate course in deep learning, with the first few parts being accessible to senior undergraduates. In addition, the book will be of wide interest to machine learning researchers who are interested in a theoretical understanding of the subject. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
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Deep Learning Architectures
Libro 4 di 11: Springer Series in the Data SciencesLingua: Inglese
Editore: Springer Nature Switzerland AG, CH, 2020
ISBN 10: 3030367207 ISBN 13: 9783030367206
Da: Rarewaves.com UK, London, Regno Unito
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EUR 139,14
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Aggiungi al carrelloHardback. Condizione: New. 1st ed. 2020. This book describes how neural networks operate from the mathematical point of view. As a result, neural networks can be interpreted both as function universal approximators and information processors. The book bridges the gap between ideas and concepts of neural networks, which are used nowadays at an intuitive level, and the precise modern mathematical language, presenting the best practices of the former and enjoying the robustness and elegance of the latter.This book can be used in a graduate course in deep learning, with the first few parts being accessible to senior undergraduates. In addition, the book will be of wide interest to machine learning researchers who are interested in a theoretical understanding of the subject.
