Deep Learning for Natural Language Processing

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Deep Learning for Natural Language Processing:
Solve your natural language processing problems with smart deep neural networks by Reddy Bokka, Karthiek

Solve your natural language processing problems with smart deep neural networks
by Reddy Bokka, Karthiek[/b]
English | 2019 | ISBN: 1838550291 | 372 Pages | EPUB | 12 MB
Applying deep learning approaches to various NLP tasks can take your computational algorithms to a completely new level in terms of speed and accuracy. Deep Learning for Natural Language Processing starts off by highlighting the basic building blocks of the natural language processing domain. The book goes on to introduce the problems that you can solve using state-of-the-art neural network models. After this, delving into the various neural network architectures and their specific areas of application will help you to understand how to select the best model to suit your needs. As you advance through this deep learning book, you'll study convolutional, recurrent, and recursive neural networks, in addition to covering long short-term memory networks (LSTM). Understanding these networks will help you to implement their models using Keras. In the later chapters, you will be able to develop a trigger word detection application using NLP techniques such as attention model and beam search.

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