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Hands-on natural language processing with Python : a practical guide to applying deep learning architectures to your NLP applications by Arumugam, Rajesh; Shanmugamani, Rajalingappaa is a nonfiction available to read on EtoBox.

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Foster your NLP applications with the help of deep learning, NLTK, and TensorFlow Key Features Weave neural networks into linguistic applications across various platforms Perform NLP tasks and train its models using NLTK and TensorFlow Boost your NLP models with strong deep learning architectures such as CNNs and RNNs Book Description Natural language processing (NLP) has found its application in various domains, such as web search, advertisements, and customer services, and with the help of deep learning, we can enhance its performances in these areas. Hands-On Natural Language Processing with Python teaches you how to leverage deep learning models for performing various NLP tasks, along with best practices in dealing with today's NLP challenges. To begin with, you will understand the core concepts of NLP and deep learning, such as Convolutional Neural Networks (CNNs), recurrent neural networks (RNNs), semantic embedding, Word2vec, and more. You will learn how to perform each and every task of NLP using neural networks, in which you will train and deploy neural networks in your NLP applications. You will get accustomed to using RNNs and CNNs in various application areas, such as t

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Author

Arumugam, Rajesh; Shanmugamani, Rajalingappaa

Publisher

Packt Publishing - ebooks Account

Published

2018

Language

EN

ISBN

9781789135916

Category

nonfiction

Subjects

Computer Science, Science, Language Learning