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Neural Network Methods Natural by Goldberg Yoav (30 results)
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paperback. Condition: Good.
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Condition: very_good. Book is in very good condition and may include minimal underlining highlighting. The book can also include "From the library of" labels. May not contain miscellaneous items toys, dvds, etc. . We offer 100% money back guarantee and 24 7 customer service.
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Neural Network Methods in Natural Language Processing (Synthesis Lectures on Human Language Technologies)
Published by Morgan & Claypool Publishers, 2017
ISBN 10: 1627052984 ISBN 13: 9781627052986
Language: English
Condition: Good. Item in good condition. Textbooks may not include supplemental items i.e. CDs, access codes etc.
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Paperback. Condition: Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less 1.2.
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Neural Network Methods for Natural Language Processing (Synthesis Lectures on Human Language Technologies, 37)
Seller: Goodwill of Silicon Valley, SAN JOSE, CA, U.S.A.
Seller rating 4 out of 5 stars
Condition: acceptable. Supports Goodwill of Silicon Valley job training programs. The cover and pages are in Acceptable condition! Any other included accessories are also in Acceptable condition showing use. Use can include some highlighting and writing, page and cover creases as well as other types visible wear such as cover tears discoloration, staining, marks, scuffs, etc. All pages intact.
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paperback. Condition: Good condition. good condition,fast ship.
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Neural Network Methods in Natural Language Processing
Published by Morgan & Claypool Publishers, 2017
ISBN 10: 1627052984 ISBN 13: 9781627052986
Language: English
Soft cover. Condition: Very good. No jacket. In great condition. Binding is tight and inside is clean and unmarked.
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Neural Network Methods in Natural Language Processing (Synthesis Lectures on Human Language Technologies)
Published by Morgan & Claypool Publishers, 2017
ISBN 10: 1627052984 ISBN 13: 9781627052986
Language: English
Paperback. Condition: Good. Ships in a BOX from Central Missouri! May not include working access code. Will not include dust jacket. Has used sticker(s) and some writing or highlighting. UPS shipping for most packages, (Priority Mail for AK/HI/APO/PO Boxes).
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Condition: As New. Unread book in perfect condition.
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Neural Network Methods for Natural Language Processing (Synthesis Lectures on Human Language Technologies)
Published by Springer
paperback. Condition: VeryGood. A copy that may have been read, very minimal wear and tear. May have a remainder mark.
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Neural Network Methods for Natural Language Processing (Synthesis Lectures on Human Language Technologies)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Neural Network Methods for Natural Language Processing
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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£ 60.74
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Neural Network Methods for Natural Language Processing
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Neural Network Methods for Natural Language Processing
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Add to basketCondition: good. May show signs of wear, highlighting, writing, and previous use. This item may be a former library book with typical markings. No guarantee on products that contain supplements Your satisfaction is 100% guaranteed. Twenty-five year bookseller with shipments to over fifty million happy customers.
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Condition: very good. l'article peut presenter de tres legers signes d'usure, petites rayures ou imperfections esthetiques. vendeur professionnel; envoi soigne en 24/48h.
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Paperback. Condition: new. Excellent Condition.Excels in customer satisfaction, prompt replies, and quality checks.
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Neural Network Methods for Natural Language Processing
Published by Springer International Publishing, 2017
ISBN 10: 303101037X ISBN 13: 9783031010378
Language: English
Taschenbuch. Condition: 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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Neural Network Methods for Natural Language Processing
Published by Springer International Publishing Apr 2017, 2017
ISBN 10: 303101037X ISBN 13: 9783031010378
Language: English
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: 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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£ 79
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Condition: New. PRINT ON DEMAND.
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Neural Network Methods for Natural Language Processing
Published by Springer, Berlin|Springer International Publishing|Morgan & Claypool|Springer, 2017
ISBN 10: 303101037X ISBN 13: 9783031010378
Language: English
£ 53.54
Convert currency£ 42.40 shipping from Germany to U.S.A.Quantity: Over 20 available
Add to basketCondition: 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.
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Neural Network Methods for Natural Language Processing
Published by Springer Nature Switzerland, Springer International Publishing Apr 2017, 2017
ISBN 10: 303101037X ISBN 13: 9783031010378
Language: English
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: 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.
