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9783030145989 - Deep Learning for Nlp and Speech Recognition by Kamath, Uday; Liu, John; Whitaker, James (33 results)
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Deep Learning for NLP and Spee
Seller: World of Books (was SecondSale), Montgomery, IL, U.S.A.
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Deep Learning for NLP and Speech Recognition
Language: English
Published by Springer (edition 1st ed. 2019), 2020
ISBN 10: 3030145980 ISBN 13: 9783030145989
Paperback. Condition: Very Good. 1st ed. 2019. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.
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Deep Learning for NLP and Speech Recognition
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Deep Learning for NLP and Speech Recognition
Language: English
Published by Springer-Verlag GmbH, 2020
ISBN 10: 3030145980 ISBN 13: 9783030145989
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Deep Learning for NLP and Speech Recognition
Language: English
Published by Springer-Verlag GmbH, 2020
ISBN 10: 3030145980 ISBN 13: 9783030145989
PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.
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Condition: New. pp. 621.
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Deep Learning for Nlp and Speech Recognition
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Condition: New. pp. 621.
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Deep Learning for NLP and Speech Recognition
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Deep Learning for Nlp and Speech Recognition
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: As New. Unread book in perfect condition.
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Deep Learning for NLP and Speech Recognition
Language: English
Published by Springer-Verlag Gmbh Aug 2020, 2020
ISBN 10: 3030145980 ISBN 13: 9783030145989
Seller: Rheinberg-Buch Andreas Meier eK, Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. Neuware -This textbook explains Deep Learning Architecture, with applications to various NLP Tasks, including Document Classification, Machine Translation, Language Modeling, and Speech Recognition.With the widespread adoption of deep learning, natural language processing (NLP),and speech applications in many areas (including Finance, Healthcare, and Government) there is a growing need for one comprehensive resource that maps deep learning techniques to NLP and speech and provides insights into using the tools and libraries for real-world applications.Deep Learning for NLP and Speech Recognitionexplains recent deep learning methods applicable to NLP and speech, provides state-of-the-art approaches, and offers real-world case studies with code to provide hands-on experience.Many books focus on deep learning theory or deep learning for NLP-specific tasks while others are cookbooks for tools and libraries, but the constant flux of new algorithms, tools, frameworks, and libraries in a rapidly evolving landscape means that there are few available texts that offer the material in this book.The book is organized into three parts, aligning to different groups of readers and their expertise. The three parts are: Machine Learning, NLP, and Speech IntroductionThe first part has three chapters that introduce readers to the fields of NLP, speech recognition, deep learning and machine learning with basic theory and hands-on case studies using Python-based tools and libraries. Deep Learning BasicsThe five chapters in the second part introduce deep learning and various topics that are crucial for speech and text processing, including word embeddings, convolutional neural networks, recurrent neural networks and speech recognition basics. Theory, practical tips, state-of-the-art methods, experimentations and analysis in using the methods discussed in theory on real-world tasks. Advanced Deep Learning Techniques for Text and SpeechThe third part has five chapters that discuss the latest and cutting-edge research in the areas of deep learning that intersect with NLP and speech. Topics including attention mechanisms, memory augmented networks, transfer learning, multi-task learning, domain adaptation, reinforcement learning, and end-to-end deep learning for speech recognition are covered using case studies. 621 pp. Englisch.
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Deep Learning for NLP and Speech Recognition
Language: English
Published by Springer-Verlag Gmbh Aug 2020, 2020
ISBN 10: 3030145980 ISBN 13: 9783030145989
Taschenbuch. Condition: Neu. Neuware -With the widespread adoption of deep learning, natural language processing (NLP),and speech applications in many areas (including Finance, Healthcare, and Government) there is a growing need for one comprehensive resource that maps deep learning techniques to NLP and speech and provides insights into using the tools and libraries for real-world applications. Deep Learning for NLP and Speech Recognition explains recent deep learning methods applicable to NLP and speech, provides state-of-the-art approaches, and offers real-world case studies with code to provide hands-on experience.
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Deep Learning For Nlp And Speech Recogni
Seller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Ireland
Seller rating 5 out of 5 stars
Condition: New.
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Deep Learning for NLP and Speech Recognition
Language: English
Published by Springer International Publishing, 2020
ISBN 10: 3030145980 ISBN 13: 9783030145989
Condition: New. A comprehensive resource that builds up from elementary deep learning, text, and speech principles to advanced state-of-the-art neural architecturesA ready reference for deep learning techniques applicable to common NLP and speech recognition appl.
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Condition: New.
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Deep Learning for NLP and Speech Recognition
Language: English
Published by Springer-Verlag Gmbh Aug 2020, 2020
ISBN 10: 3030145980 ISBN 13: 9783030145989
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. Neuware -With the widespread adoption of deep learning, natural language processing (NLP),and speech applications in many areas (including Finance, Healthcare, and Government) there is a growing need for one comprehensive resource that maps deep learning techniques to NLP and speech and provides insights into using the tools and libraries for real-world applications. Deep Learning for NLP and Speech Recognition explains recent deep learning methods applicable to NLP and speech, provides state-of-the-art approaches, and offers real-world case studies with code to provide hands-on experience.Springer-Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 621 pp. Englisch.
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Deep Learning for Nlp and Speech Recognition
Language: English
Published by Springer-Nature New York Inc, 2020
ISBN 10: 3030145980 ISBN 13: 9783030145989
Paperback. Condition: Brand New. 652 pages. 10.00x7.01x1.42 inches. In Stock.
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Deep Learning for NLP and Speech Recognition
Language: English
Published by Springer-Verlag Gmbh Aug 2020, 2020
ISBN 10: 3030145980 ISBN 13: 9783030145989
Taschenbuch. Condition: Neu. Neuware - This textbook explains Deep Learning Architecture, with applications to various NLP Tasks, including Document Classification, Machine Translation, Language Modeling, and Speech Recognition.With the widespread adoption of deep learning, natural language processing (NLP),and speech applications in many areas (including Finance, Healthcare, and Government) there is a growing need for one comprehensive resource that maps deep learning techniques to NLP and speech and provides insights into using the tools and libraries for real-world applications.Deep Learning for NLP and Speech Recognitionexplains recent deep learning methods applicable to NLP and speech, provides state-of-the-art approaches, and offers real-world case studies with code to provide hands-on experience.Many books focus on deep learning theory or deep learning for NLP-specific tasks while others are cookbooks for tools and libraries, but the constant flux of new algorithms, tools, frameworks, and libraries in a rapidly evolving landscape means that there are few available texts that offer the material in this book.The book is organized into three parts, aligning to different groups of readers and their expertise. The three parts are: Machine Learning, NLP, and Speech IntroductionThe first part has three chapters that introduce readers to the fields of NLP, speech recognition, deep learning and machine learning with basic theory and hands-on case studies using Python-based tools and libraries. Deep Learning BasicsThe five chapters in the second part introduce deep learning and various topics that are crucial for speech and text processing, including word embeddings, convolutional neural networks, recurrent neural networks and speech recognition basics. Theory, practical tips, state-of-the-art methods, experimentations and analysis in using the methods discussed in theory on real-world tasks. Advanced Deep Learning Techniques for Text and SpeechThe third part has five chapters that discuss the latest and cutting-edge research in the areas of deep learning that intersect with NLP and speech. Topics including attention mechanisms, memory augmented networks, transfer learning, multi-task learning, domain adaptation, reinforcement learning, and end-to-end deep learning for speech recognition are covered using case studies.
