Edité par Springer (edition 1st ed. 2018), 2018
ISBN 10 : 3319944622 ISBN 13 : 9783319944623
Langue: anglais
Vendeur : BooksRun, Philadelphia, PA, Etats-Unis
EUR 20,53
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Ajouter au panierHardcover. Etat : Good. 1st ed. 2018. Ship within 24hrs. Satisfaction 100% guaranteed. APO/FPO addresses supported.
Edité par Springer International Publishing AG, 2018
ISBN 10 : 3319944622 ISBN 13 : 9783319944623
Langue: anglais
Vendeur : Better World Books, Mishawaka, IN, Etats-Unis
EUR 21,56
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Ajouter au panierEtat : Good. Used book that is in clean, average condition without any missing pages.
Quantité disponible : 1 disponible(s)
Ajouter au panierEtat : Gut. Zustand: Gut | Seiten: 553 | Sprache: Englisch | Produktart: Bücher.
EUR 36,73
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Ajouter au panierEtat : very good. Gut/Very good: Buch bzw. Schutzumschlag mit wenigen Gebrauchsspuren an Einband, Schutzumschlag oder Seiten. / Describes a book or dust jacket that does show some signs of wear on either the binding, dust jacket or pages.
EUR 43,04
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Ajouter au panierEtat : very good. Gut/Very good: Buch bzw. Schutzumschlag mit wenigen Gebrauchsspuren an Einband, Schutzumschlag oder Seiten. / Describes a book or dust jacket that does show some signs of wear on either the binding, dust jacket or pages.
EUR 43,99
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Ajouter au panierEtat : very good. Gut/Very good: Buch bzw. Schutzumschlag mit wenigen Gebrauchsspuren an Einband, Schutzumschlag oder Seiten. / Describes a book or dust jacket that does show some signs of wear on either the binding, dust jacket or pages.
Edité par Springer Nature Switzerland Ag, 2018
ISBN 10 : 3030068560 ISBN 13 : 9783030068561
Langue: anglais
Vendeur : Anybook.com, Lincoln, Royaume-Uni
EUR 42,05
Autre deviseQuantité disponible : 1 disponible(s)
Ajouter au panierEtat : Good. This is an ex-library book and may have the usual library/used-book markings inside.This book has soft covers. In good all round condition. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,1150grams, ISBN:9783030068561.
Vendeur : Books From California, Simi Valley, CA, Etats-Unis
EUR 38,18
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Ajouter au panierhardcover. Etat : Very Good. Cover and edges may have some wear.
Vendeur : Romtrade Corp., STERLING HEIGHTS, MI, Etats-Unis
EUR 51,59
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Ajouter au panierEtat : 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.
EUR 36,30
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Ajouter au panierhardcover. Etat : Sehr gut. 520 Seiten; 9783319944623.2 Gewicht in Gramm: 2.
EUR 51,60
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Ajouter au panierEtat : New.
Vendeur : Ria Christie Collections, Uxbridge, Royaume-Uni
EUR 54,86
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Ajouter au panierEtat : New. In.
EUR 50,15
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Ajouter au panierEtat : New.
Vendeur : Biblios, Frankfurt am main, HESSE, Allemagne
EUR 54,71
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Ajouter au panierEtat : New.
EUR 58,20
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Ajouter au panierEtat : NEW.
Edité par Springer International Publishing, 2024
ISBN 10 : 3031296443 ISBN 13 : 9783031296444
Langue: anglais
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
EUR 53,49
Autre deviseQuantité disponible : 1 disponible(s)
Ajouter au panierTaschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - This book covers both classical and modern models in deep learning. The primary focus is on the theory and algorithms of deep learning. The theory and algorithms of neural networks are particularly important for understanding important concepts, so that one can understand the important design concepts of neural architectures in different applications. Why do neural networks work When do they work better than off-the-shelf machine-learning models When is depth useful Why is training neural networks so hard What are the pitfalls The book is also rich in discussing different applications in order to give the practitioner a flavor of how neural architectures are designed for different types of problems.Deep learning methods for various data domains, such as text, images, and graphs are presented in detail. The chapters of this book span three categories:The basics of neural networks:The backpropagation algorithm is discussed in Chapter 2.Many traditional machine learning models can be understood as special cases of neural networks. Chapter 3 explores the connections between traditional machine learning and neural networks. Support vector machines, linear/logistic regression, singular value decomposition, matrix factorization, and recommender systems are shown to be special cases of neural networks.Fundamentals of neural networks: A detailed discussion of training and regularization is provided in Chapters 4 and 5. Chapters 6 and 7 present radial-basis function (RBF) networks and restricted Boltzmann machines.Advanced topics in neural networks: Chapters 8, 9, and 10 discussrecurrent neural networks, convolutional neural networks, and graph neural networks.Several advanced topics like deep reinforcement learning, attention mechanisms, transformer networks, Kohonen self-organizing maps, and generative adversarial networks are introduced in Chapters 11 and 12.The textbook is written for graduate students and upper under graduate level students. Researchers and practitioners working within this related field will want to purchase this as well.Where possible, an application-centric view is highlighted in order to provide an understanding of the practical uses of each class of techniques.The second edition is substantially reorganized and expanded with separate chapters on backpropagation and graph neural networks. Many chapters have been significantly revised over the first edition.Greater focus is placed on modern deep learning ideas such as attention mechanisms, transformers, and pre-trained language models.
Vendeur : Tefka, Albuquerque, NM, Etats-Unis
Edition originale
EUR 26,81
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Ajouter au panierHardcover. Etat : Very Good. No Jacket. 1st Edition. Very good+ hardcover with clean & bright boards w/minor bumps/dents to boards; interior pages are white & crisp, no marks, looks barely used if at all. No dust jacket as issued. See photos.
Vendeur : Romtrade Corp., STERLING HEIGHTS, MI, Etats-Unis
EUR 69,24
Autre deviseQuantité disponible : 1 disponible(s)
Ajouter au panierEtat : 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.
Edité par Springer International Publishing, Springer International Publishing Jul 2024, 2024
ISBN 10 : 3031296443 ISBN 13 : 9783031296444
Langue: anglais
Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
Edition originale
EUR 53,49
Autre deviseQuantité disponible : 2 disponible(s)
Ajouter au panierTaschenbuch. Etat : Neu. Neuware -This book covers both classical and modern models in deep learning. The primary focus is on the theory and algorithms of deep learning. The theory and algorithms of neural networks are particularly important for understanding important concepts, so that one can understand the important design concepts of neural architectures in different applications. Why do neural networks work When do they work better than off-the-shelf machine-learning models When is depth useful Why is training neural networks so hard What are the pitfalls The book is also rich in discussing different applications in order to give the practitioner a flavor of how neural architectures are designed for different types of problems. Deep learning methods for various data domains, such as text, images, and graphs are presented in detail. The chapters of this book span three categories:The basics of neural networks: The backpropagation algorithm is discussed in Chapter 2.Many traditional machine learning models can be understood as special cases of neural networks. Chapter 3 explores the connections between traditional machine learning and neural networks. Support vector machines, linear/logistic regression, singular value decomposition, matrix factorization, and recommender systems are shown to be special cases of neural networks.Fundamentals of neural networks: A detailed discussion of training and regularization is provided in Chapters 4 and 5. Chapters 6 and 7 present radial-basis function (RBF) networks and restricted Boltzmann machines.Advanced topics in neural networks: Chapters 8, 9, and 10 discuss recurrent neural networks, convolutional neural networks, and graph neural networks. Several advanced topics like deep reinforcement learning, attention mechanisms, transformer networks, Kohonen self-organizing maps, and generative adversarial networks are introduced in Chapters 11 and 12.The textbook is written for graduate students and upper under graduate level students. Researchers and practitioners working within this related field will want to purchase this as well.Where possible, an application-centric view is highlighted in order to provide an understanding of the practical uses of each class of techniques.The second edition is substantially reorganized and expanded with separate chapters on backpropagation and graph neural networks. Many chapters have been significantly revised over the first edition.Greater focus is placed on modern deep learning ideas such as attention mechanisms, transformers, and pre-trained language models.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 556 pp. Englisch.
EUR 17,81
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Ajouter au panierhardcover. Etat : Fine. Hardback. No dust jacket. Cover edges and corners in good shape. Spine is tight. Pages are clean, no markings, notes or stains. Ships from Friends bookstore to benefit Beaverton (Oregon) library.
EUR 40,40
Autre deviseQuantité disponible : 1 disponible(s)
Ajouter au panierEtat : Good. Item in good condition. Textbooks may not include supplemental items i.e. CDs, access codes etc.
Edité par Springer International Publishing AG, 2023
ISBN 10 : 3031296419 ISBN 13 : 9783031296413
Langue: anglais
Vendeur : PBShop.store UK, Fairford, GLOS, Royaume-Uni
EUR 64,45
Autre deviseQuantité disponible : 5 disponible(s)
Ajouter au panierHRD. Etat : New. New Book. Shipped from UK. Established seller since 2000.
EUR 69,24
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Ajouter au panierEtat : Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.
Edité par Springer International Publishing AG, 2023
ISBN 10 : 3031296419 ISBN 13 : 9783031296413
Langue: anglais
Vendeur : PBShop.store US, Wood Dale, IL, Etats-Unis
EUR 72,99
Autre deviseQuantité disponible : 5 disponible(s)
Ajouter au panierHRD. Etat : New. New Book. Shipped from UK. Established seller since 2000.
Vendeur : Ria Christie Collections, Uxbridge, Royaume-Uni
EUR 72,38
Autre deviseQuantité disponible : Plus de 20 disponibles
Ajouter au panierEtat : New. In.
Edité par Springer International Publishing, 2023
ISBN 10 : 3031296419 ISBN 13 : 9783031296413
Langue: anglais
Vendeur : moluna, Greven, Allemagne
EUR 66,46
Autre deviseQuantité disponible : 2 disponible(s)
Ajouter au panierEtat : New. Simple and intuitive discussions of neural networks and deep learningProvides mathematical details without losing the reader in complexityIncludes exercises and examplesDiscusses both traditional neural networks and recent deep learn.
EUR 73,25
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Ajouter au panierEtat : New.
EUR 71,42
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Ajouter au panierEtat : New.
EUR 75,96
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Ajouter au panierEtat : New.
Vendeur : GreatBookPricesUK, Woodford Green, Royaume-Uni
EUR 64,44
Autre deviseQuantité disponible : 2 disponible(s)
Ajouter au panierEtat : New.