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Verlag: Morgan & Claypool Publishers, 2017
ISBN 10: 1627052984 ISBN 13: 9781627052986
Sprache: Englisch
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Verlag: Morgan & Claypool Publishers, 2017
ISBN 10: 1627052984 ISBN 13: 9781627052986
Sprache: Englisch
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Verlag: Springer International Publishing, 2017
ISBN 10: 303101037X ISBN 13: 9783031010378
Sprache: Englisch
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In den WarenkorbTaschenbuch. Zustand: Neu. Neural Network Methods for Natural Language Processing | Yoav Goldberg | Taschenbuch | ccxcii | Englisch | 2017 | Springer International Publishing | EAN 9783031010378 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Verlag: Springer International Publishing, 2017
ISBN 10: 303101037X ISBN 13: 9783031010378
Sprache: Englisch
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In den WarenkorbTaschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Neural networks are a family of powerful machine learning models. This book focuses on the application of neural network models to natural language data. The first half of the book (Parts I and II) covers the basics of supervised machine learning and feed-forward neural networks, the basics of working with machine learning over language data, and the use of vector-based rather than symbolic representations for words. It also covers the computation-graph abstraction, which allows to easily define and train arbitrary neural networks, and is the basis behind the design of contemporary neural network software libraries.The second part of the book (Parts III and IV) introduces more specialized neural network architectures, including 1D convolutional neural networks, recurrent neural networks, conditioned-generation models, and attention-based models. These architectures and techniques are the driving force behind state-of-the-art algorithms for machine translation, syntactic parsing, and many other applications. Finally, we also discuss tree-shaped networks, structured prediction, and the prospects of multi-task learning.
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In den WarenkorbPaperback. Zustand: new. Excellent Condition.Excels in customer satisfaction, prompt replies, and quality checks.
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In den Warenkorbpaperback. Zustand: New.
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In den Warenkorbpaperback. Zustand: New. Paperback. Pub Date: 2020-06-01 Pages: 480 Language: Chinese Publisher: Mechanical Industry Press Natural Language Processing Based on Deep Learning: Natural language processing is an important research direction in the field of artificial intelligence. which is a combination of computer science and Interdisciplinary of linguistics.?With the rapid development of the Internet. network text. especially user-generated text. has exploded. which has brought huge application requirements for natura.
Verlag: Springer International Publishing Apr 2017, 2017
ISBN 10: 303101037X ISBN 13: 9783031010378
Sprache: Englisch
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In den WarenkorbTaschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Neural networks are a family of powerful machine learning models. This book focuses on the application of neural network models to natural language data. The first half of the book (Parts I and II) covers the basics of supervised machine learning and feed-forward neural networks, the basics of working with machine learning over language data, and the use of vector-based rather than symbolic representations for words. It also covers the computation-graph abstraction, which allows to easily define and train arbitrary neural networks, and is the basis behind the design of contemporary neural network software libraries.The second part of the book (Parts III and IV) introduces more specialized neural network architectures, including 1D convolutional neural networks, recurrent neural networks, conditioned-generation models, and attention-based models. These architectures and techniques are the driving force behind state-of-the-art algorithms for machine translation, syntactic parsing, and many other applications. Finally, we also discuss tree-shaped networks, structured prediction, and the prospects of multi-task learning. 312 pp. Englisch.
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In den WarenkorbZustand: New. Print on Demand.
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In den WarenkorbZustand: New. PRINT ON DEMAND.
Verlag: Springer, Berlin|Springer International Publishing|Morgan & Claypool|Springer, 2017
ISBN 10: 303101037X ISBN 13: 9783031010378
Sprache: Englisch
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In den WarenkorbZustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Neural networks are a family of powerful machine learning models. This book focuses on the application of neural network models to natural language data. The first half of the book (Parts I and II) covers the basics of supervised machine learning and fee.
Verlag: Springer Nature Switzerland, Springer International Publishing Apr 2017, 2017
ISBN 10: 303101037X ISBN 13: 9783031010378
Sprache: Englisch
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In den WarenkorbTaschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Neural networks are a family of powerful machine learning models. This book focuses on the application of neural network models to natural language data. The first half of the book (Parts I and II) covers the basics of supervised machine learning and feed-forward neural networks, the basics of working with machine learning over language data, and the use of vector-based rather than symbolic representations for words. It also covers the computation-graph abstraction, which allows to easily define and train arbitrary neural networks, and is the basis behind the design of contemporary neural network software libraries.The second part of the book (Parts III and IV) introduces more specialized neural network architectures, including 1D convolutional neural networks, recurrent neural networks, conditioned-generation models, and attention-based models. These architectures and techniques are the driving force behind state-of-the-art algorithms for machine translation, syntactic parsing, and many other applications. Finally, we also discuss tree-shaped networks, structured prediction, and the prospects of multi-task learning.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 312 pp. Englisch.