Condizione: Gut. Zustand: Gut | Seiten: 553 | Sprache: Englisch | Produktart: Bücher.
EUR 35,16
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Aggiungi al carrelloCondizione: 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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Aggiungi al carrelloCondizione: good. Befriedigend/Good: Durchschnittlich erhaltenes Buch bzw. Schutzumschlag mit Gebrauchsspuren, aber vollständigen Seiten. / Describes the average WORN book or dust jacket that has all the pages present.
EUR 43,04
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Aggiungi al carrelloCondizione: 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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Aggiungi al carrelloCondizione: 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 50,14
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Aggiungi al carrelloCondizione: 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 38,40
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Aggiungi al carrellohardcover. Condizione: Very Good. Cover and edges may have some wear.
Editore: Springer Nature Switzerland Ag, 2018
ISBN 10: 3030068560 ISBN 13: 9783030068561
Lingua: Inglese
Da: Anybook.com, Lincoln, Regno Unito
EUR 42,16
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Aggiungi al carrelloCondizione: 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.
EUR 34,77
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Aggiungi al carrellohardcover. Condizione: Sehr gut. 520 Seiten; 9783319944623.2 Gewicht in Gramm: 2.
EUR 50,35
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Aggiungi al carrelloCondizione: New.
EUR 51,61
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Aggiungi al carrelloPAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
EUR 49,44
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Aggiungi al carrelloCondizione: New.
EUR 54,71
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Aggiungi al carrelloCondizione: New.
EUR 55,01
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Aggiungi al carrelloCondizione: New. In.
EUR 54,25
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Aggiungi al carrelloPaperback. Condizione: Brand New. 2nd edition. 553 pages. 10.00x7.00x10.00 inches. In Stock.
EUR 58,35
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Aggiungi al carrelloCondizione: NEW.
EUR 26,37
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Aggiungi al carrelloHardcover. Condizione: 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.
EUR 67,31
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Aggiungi al carrelloCondizione: 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 67,31
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Aggiungi al carrelloCondizione: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.
EUR 16,81
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Aggiungi al carrellohardcover. Condizione: 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.
Editore: Springer International Publishing, 2024
ISBN 10: 3031296443 ISBN 13: 9783031296444
Lingua: Inglese
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 53,49
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Aggiungi al carrelloTaschenbuch. Condizione: 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.
Editore: Springer International Publishing, Springer International Publishing Jul 2024, 2024
ISBN 10: 3031296443 ISBN 13: 9783031296444
Lingua: Inglese
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
Prima edizione
EUR 53,49
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Aggiungi al carrelloTaschenbuch. Condizione: 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.
Editore: Springer International Publishing AG, 2023
ISBN 10: 3031296419 ISBN 13: 9783031296413
Lingua: Inglese
Da: PBShop.store UK, Fairford, GLOS, Regno Unito
EUR 64,62
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Aggiungi al carrelloHRD. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
Editore: Springer International Publishing, 2023
ISBN 10: 3031296419 ISBN 13: 9783031296413
Lingua: Inglese
Da: PBShop.store US, Wood Dale, IL, U.S.A.
EUR 72,31
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Aggiungi al carrelloHRD. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
EUR 69,28
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Aggiungi al carrelloCondizione: New.
Editore: Springer International Publishing, 2023
ISBN 10: 3031296419 ISBN 13: 9783031296413
Lingua: Inglese
Da: moluna, Greven, Germania
EUR 66,46
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Aggiungi al carrelloCondizione: 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 70,23
Convertire valutaQuantità: 3 disponibili
Aggiungi al carrelloCondizione: New.
EUR 64,61
Convertire valutaQuantità: 2 disponibili
Aggiungi al carrelloCondizione: New.
EUR 64,98
Convertire valutaQuantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New.
EUR 74,70
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Aggiungi al carrelloCondizione: New.