Neural Network Methods for Natural Language Processing - Couverture souple

Goldberg, Yoav

Couverture souple

ISBN 10 : 1627052984 ISBN 13 : 9781627052986

Editeur : Morgan and Claypool Life Sciences, 2017

Synopsis

Neural networks are a family of powerful machine learning models and this book focuses on their application 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.

Détails de l'édition

• Éditeur: Morgan and Claypool Life Sciences
• Date d'édition: 2017
• Langue: anglais
• ISBN 10: 1627052984
• ISBN 13: 9781627052986
• Reliure: Broché
• Nombre de pages: 309
• Coordonnées du fabricant: non disponible
• Personne responsable: non disponible