EUR 50,47
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EUR 52,61
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Da: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
Prima edizione
EUR 68,15
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Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 61,37
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Da: California Books, Miami, FL, U.S.A.
EUR 65,64
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EUR 58,58
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EUR 59,12
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EUR 81,99
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Aggiungi al carrelloCondizione: New. 2022. 1st Edition. Paperback. . . . . . Books ship from the US and Ireland.
Editore: Chapman and Hall/CRC 2022-05, 2022
ISBN 10: 0367767341 ISBN 13: 9780367767341
Lingua: Inglese
Da: Chiron Media, Wallingford, Regno Unito
EUR 62,61
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Aggiungi al carrelloPF. Condizione: New.
Condizione: Sehr gut. Zustand: Sehr gut | Seiten: 257 | Sprache: Englisch | Produktart: Bücher.
Da: HPB-Red, Dallas, TX, U.S.A.
EUR 27,80
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Aggiungi al carrellopaperback. Condizione: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!
Da: Lucky's Textbooks, Dallas, TX, U.S.A.
EUR 57,40
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EUR 122,83
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EUR 127,80
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EUR 132,55
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EUR 138,92
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EUR 182,76
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Aggiungi al carrelloHardcover. Condizione: Brand New. 248 pages. 9.18x6.12x0.87 inches. In Stock.
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 62,95
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Transformers are becoming a core part of many neural network architectures, employed in a wide range of applications such as NLP, Speech Recognition, Time Series, and Computer Vision. Transformers have gone through many adaptations and alterations, resulting in newer techniques and methods. Transformers for Machine Learning: A Deep Dive is the first comprehensive book on transformers.Key Features:A comprehensive reference book for detailed explanations for every algorithm and techniques related to the transformers.60+ transformer architectures covered in a comprehensive manner.A book for understanding how to apply the transformer techniques in speech, text, time series, and computer vision.Practical tips and tricks for each architecture and how to use it in the real world.Hands-on case studies and code snippets for theory and practical real-world analysis using the tools and libraries, all ready to run in Google Colab.The theoretical explanations of the state-of-the-art transformer architectures will appeal to postgraduate students and researchers (academic and industry) as it will provide a single entry point with deep discussions of a quickly moving field. The practical hands-on case studies and code will appeal to undergraduate students, practitioners, and professionals as it allows for quick experimentation and lowers the barrier to entry into the field.
Da: Revaluation Books, Exeter, Regno Unito
EUR 150,11
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Aggiungi al carrelloHardcover. Condizione: Brand New. 248 pages. 9.18x6.12x0.87 inches. In Stock. This item is printed on demand.
Editore: Taylor & Francis Ltd (Sales), 2022
ISBN 10: 0367771659 ISBN 13: 9780367771652
Lingua: Inglese
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 143,21
Convertire valutaQuantità: 2 disponibili
Aggiungi al carrelloBuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Transformers are becoming a core part of many neural network architectures, employed in a wide range of applications such as NLP, Speech Recognition, Time Series, and Computer Vision. Transformers have gone through many adaptations and alterations, resulting in newer techniques and methods. Transformers for Machine Learning: A Deep Dive is the first comprehensive book on transformers.Key Features:A comprehensive reference book for detailed explanations for every algorithm and techniques related to the transformers.60+ transformer architectures covered in a comprehensive manner.A book for understanding how to apply the transformer techniques in speech, text, time series, and computer vision.Practical tips and tricks for each architecture and how to use it in the real world.Hands-on case studies and code snippets for theory and practical real-world analysis using the tools and libraries, all ready to run in Google Colab.The theoretical explanations of the state-of-the-art transformer architectures will appeal to postgraduate students and researchers (academic and industry) as it will provide a single entry point with deep discussions of a quickly moving field. The practical hands-on case studies and code will appeal to undergraduate students, practitioners, and professionals as it allows for quick experimentation and lowers the barrier to entry into the field.