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Deep Learning for NLP and Speech Recognition
First Edition
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Deep Learning for NLP and Speech Recognition
Published by Springer-Verlag GmbH, 2020
ISBN 10: 3030145980 ISBN 13: 9783030145989
Language: English
Seller: Buchpark, Maidenhead, Berkshire, United Kingdom
Seller rating 4 out of 5 stars
Condition: Fine. Condition: Fine | Pages: 621 | Language: English | Product Type: Books.
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Deep Learning for Nlp and Speech Recognition
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Deep Learning for NLP and Speech Recognition
First Edition
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Add to basketPaperback. Condition: Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less 2.45.
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Condition: New. pp. 621.
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Deep Learning for Nlp and Speech Recognition
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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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
Published by Springer-Nature New York Inc, 2020
ISBN 10: 3030145980 ISBN 13: 9783030145989
Language: English
Paperback. Condition: Brand New. 652 pages. 10.00x7.01x1.42 inches. In Stock.
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Deep Learning for NLP and Speech Recognition
Published by Springer International Publishing, 2020
ISBN 10: 3030145980 ISBN 13: 9783030145989
Language: English
£ 58.71
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Add to basketCondition: 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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Deep Learning for NLP and Speech Recognition
Published by Springer-Verlag Gmbh Aug 2020, 2020
ISBN 10: 3030145980 ISBN 13: 9783030145989
Language: English
£ 74.01
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Add to basketTaschenbuch. 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 Recognition
Published by Springer-Verlag Gmbh Aug 2020, 2020
ISBN 10: 3030145980 ISBN 13: 9783030145989
Language: English
Seller: Rheinberg-Buch Andreas Meier eK, Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
£ 74.01
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Add to basketTaschenbuch. 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
Published by Springer-Verlag Gmbh Aug 2020, 2020
ISBN 10: 3030145980 ISBN 13: 9783030145989
Language: English
£ 74.01
Convert currency£ 11.74 shipping from Germany to United KingdomQuantity: 1 available
Add to basketTaschenbuch. 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.
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Deep Learning for NLP and Speech Recognition
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Deep Learning for NLP and Speech Recognition
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Deep Learning for NLP and Speech Recognition
Published by Springer International Publishing, 2019
ISBN 10: 3030145956 ISBN 13: 9783030145958
Language: English
£ 101.77
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Add to basketBuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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.
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Deep Learning for Nlp and Speech Recognition
Published by Springer-Nature New York Inc, 2020
ISBN 10: 3030145980 ISBN 13: 9783030145989
Language: English
Paperback. Condition: Brand New. 652 pages. 10.00x7.01x1.42 inches. In Stock.
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Deep Learning for NLP and Speech Recognition
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