Neural Network Methods in Natural Language Processing is popular PDF and ePub book, written by Yoav Goldberg in 2017-04-17, it is a fantastic choice for those who relish reading online the Computers genre. Let's immerse ourselves in this engaging Computers book by exploring the summary and details provided below. Remember, Neural Network Methods in Natural Language Processing can be Read Online from any device for your convenience.
Neural Network Methods in Natural Language Processing Book PDF Summary
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.
Detail Book of Neural Network Methods in Natural Language Processing PDF
- Author : Yoav Goldberg
- Release : 17 April 2017
- Publisher : Morgan & Claypool Publishers
- ISBN : 9781627052955
- Genre : Computers
- Total Page : 311 pages
- Language : English
- PDF File Size : 20,9 Mb
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