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Aggiungi al carrellopaperback. Condizione: Very Good. Multi-faceted Deep Learning: Models and Data This book is in very good condition and will be shipped within 24 hours of ordering. The cover may have some limited signs of wear but the pages are clean, intact and the spine remains undamaged. This book has clearly been well maintained and looked after thus far. Money back guarantee if you are not satisfied. See all our books here, order more than 1 book and get discounted shipping. .
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Aggiungi al carrellopaperback. Condizione: Very Good. Shipped within 24 hours from our UK warehouse. Clean, undamaged book with no damage to pages and minimal wear to the cover. Spine still tight, in very good condition. Remember if you are not happy, you are covered by our 100% money back guarantee.
Hardcover. Condizione: Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.
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Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Da: Books Puddle, New York, NY, U.S.A.
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Multi-faceted Deep Learning | Models and Data | Jenny Benois-Pineau (u. a.) | Taschenbuch | xii | Englisch | 2022 | Springer | EAN 9783030744809 | 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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Condizione: New. 1st ed. 2021 edition NO-PA16APR2015-KAP.
Lingua: Inglese
Editore: Springer International Publishing, Springer Nature Switzerland, 2022
ISBN 10: 3030744809 ISBN 13: 9783030744809
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 192,59
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book covers a large set of methods in the field of Artificial Intelligence - Deep Learning applied to real-world problems.The fundamentals of the Deep Learning approach and different types of Deep Neural Networks (DNNs) are first summarized in this book, which offers a comprehensive preamble for further problem-oriented chapters.The most interesting and open problems of machine learning in the framework of Deep Learning are discussed in this book and solutions are proposed. This book illustrates how to implement the zero-shot learning with Deep Neural Network Classifiers, which require a large amount of training data. The lack of annotated training data naturally pushes the researchers to implement low supervision algorithms. Metric learning is a long-term research but in the framework of Deep Learning approaches, it gets freshness and originality. Fine-grained classification with a low inter-class variability is a difficult problem for any classification tasks. This book presents how it is solved, by using different modalities and attention mechanisms in 3D convolutional networks.Researchers focused on Machine Learning, Deep learning, Multimedia and Computer Vision will want to buy this book. Advanced level students studying computer science within these topic areas will also find this book useful.
Lingua: Inglese
Editore: Springer International Publishing, Springer Nature Switzerland, 2021
ISBN 10: 3030744779 ISBN 13: 9783030744779
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 192,59
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Aggiungi al carrelloBuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book covers a large set of methods in the field of Artificial Intelligence - Deep Learning applied to real-world problems.The fundamentals of the Deep Learning approach and different types of Deep Neural Networks (DNNs) are first summarized in this book, which offers a comprehensive preamble for further problem-oriented chapters.The most interesting and open problems of machine learning in the framework of Deep Learning are discussed in this book and solutions are proposed. This book illustrates how to implement the zero-shot learning with Deep Neural Network Classifiers, which require a large amount of training data. The lack of annotated training data naturally pushes the researchers to implement low supervision algorithms. Metric learning is a long-term research but in the framework of Deep Learning approaches, it gets freshness and originality. Fine-grained classification with a low inter-class variability is a difficult problem for any classification tasks. This book presents how it is solved, by using different modalities and attention mechanisms in 3D convolutional networks.Researchers focused on Machine Learning, Deep learning, Multimedia and Computer Vision will want to buy this book. Advanced level students studying computer science within these topic areas will also find this book useful.
EUR 273,83
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Aggiungi al carrelloPaperback. Condizione: Brand New. 328 pages. 9.25x6.10x0.83 inches. In Stock.
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Aggiungi al carrelloHardcover. Condizione: Brand New. 328 pages. 9.25x6.10x0.98 inches. In Stock.
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Da: Majestic Books, Hounslow, Regno Unito
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Da: Biblios, Frankfurt am main, HESSE, Germania
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Da: Biblios, Frankfurt am main, HESSE, Germania
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