Published by Chapman and Hall/CRC, 2022
ISBN 10: 0367767341 ISBN 13: 9780367767341
Language: English
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Published by Chapman and Hall/CRC, 2022
ISBN 10: 0367767341 ISBN 13: 9780367767341
Language: English
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Published by Chapman and Hall/CRC, 2022
ISBN 10: 0367767341 ISBN 13: 9780367767341
Language: English
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Published by Chapman and Hall/CRC, 2022
ISBN 10: 0367767341 ISBN 13: 9780367767341
Language: English
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Published by Chapman and Hall/CRC, 2022
ISBN 10: 0367767341 ISBN 13: 9780367767341
Language: English
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Published by Taylor & Francis Ltd, London, 2022
ISBN 10: 0367767341 ISBN 13: 9780367767341
Language: English
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Paperback. Condition: new. Paperback. 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. 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. This is the first comprehensive book on transformers. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Published by Taylor & Francis Ltd, 2022
ISBN 10: 0367767341 ISBN 13: 9780367767341
Language: English
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Published by Taylor & Francis Group, 2022
ISBN 10: 0367767341 ISBN 13: 9780367767341
Language: English
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Published by Chapman and Hall/CRC, 2022
ISBN 10: 0367767341 ISBN 13: 9780367767341
Language: English
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Published by Taylor & Francis Group, 2022
ISBN 10: 0367767341 ISBN 13: 9780367767341
Language: English
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Published by Chapman and Hall/CRC, 2022
ISBN 10: 0367767341 ISBN 13: 9780367767341
Language: English
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Published by Chapman and Hall/CRC, 2022
ISBN 10: 0367767341 ISBN 13: 9780367767341
Language: English
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Published by Taylor & Francis Ltd, 2022
ISBN 10: 0367767341 ISBN 13: 9780367767341
Language: English
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Published by Chapman and Hall/CRC 2022-05, 2022
ISBN 10: 0367767341 ISBN 13: 9780367767341
Language: English
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Published by Taylor & Francis Group, 2022
ISBN 10: 0367767341 ISBN 13: 9780367767341
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Published by Taylor & Francis Ltd, 2022
ISBN 10: 0367767341 ISBN 13: 9780367767341
Language: English
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Add to basketCondition: New. Uday Kamath has spent more than two decades developing analytics products and combines this experience with learning in statistics, optimization, machine learning, bioinformatics, and evolutionary computing. Uday has contributed to many .
Published by Taylor & Francis Ltd, London, 2022
ISBN 10: 0367767341 ISBN 13: 9780367767341
Language: English
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Add to basketPaperback. Condition: new. Paperback. 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. 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. This is the first comprehensive book on transformers. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Published by T And F Crc Press, 2022
Language: English
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Add to basketSoft cover. Condition: New. ISBN:9780367767341.
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Published by Chapman And Hall/CRC Mai 2022, 2022
ISBN 10: 0367767341 ISBN 13: 9780367767341
Language: English
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
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Add to basketTaschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 284 pp. Englisch.
Published by Chapman And Hall/CRC, 2022
ISBN 10: 0367767341 ISBN 13: 9780367767341
Language: English
Seller: AHA-BUCH GmbH, Einbeck, Germany
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Add to basketTaschenbuch. Condition: 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.
Published by Chapman and Hall/CRC, 2022
ISBN 10: 0367771659 ISBN 13: 9780367771652
Language: English
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Published by Chapman and Hall/CRC, 2022
ISBN 10: 0367771659 ISBN 13: 9780367771652
Language: English
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Published by Chapman and Hall/CRC, 2022
ISBN 10: 0367771659 ISBN 13: 9780367771652
Language: English
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Published by Chapman and Hall/CRC, 2022
ISBN 10: 0367771659 ISBN 13: 9780367771652
Language: English
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Published by Chapman and Hall/CRC, 2022
ISBN 10: 0367771659 ISBN 13: 9780367771652
Language: English
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Published by Chapman and Hall/CRC, 2022
ISBN 10: 0367771659 ISBN 13: 9780367771652
Language: English
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Published by Taylor & Francis Ltd, 2022
ISBN 10: 0367771659 ISBN 13: 9780367771652
Language: English
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Add to basketHardback. Condition: New. New copy - Usually dispatched within 4 working days. 185.