Download Neural Network Methods in Natural Language Processing Pdf

Neural Network Methods in Natural Language Processing true
By:Yoav Goldberg
Published on 2017-04-17 by Morgan & Claypool Publishers


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.

This Book was ranked at 30 by Google Books for keyword Speech Audio Processing.

Book ID of Neural Network Methods in Natural Language Processing's Books is Za2zDgAAQBAJ, Book which was written byYoav Goldberghave ETAG "bB2AKhi//+I"

Book which was published by Morgan & Claypool Publishers since 2017-04-17 have ISBNs, ISBN 13 Code is 9781627052955 and ISBN 10 Code is 162705295X

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