Hands-On Natural Language Processing with Python: A practical guide to applying deep learning architectures to your NLP applications (Rajesh Arumugam, et al)

 
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Hands-On Natural Language Processing with Python: A practical guide to applying deep learning architectures to your NLP applications (Rajesh Arumugam, et al)

Natural language processing (NLP) has applications in a variety of fields, including web search, advertising, and customer service, and we can improve its performance in these fields with the aid of deep learning.

This book shows you how to use deep learning models for carrying out various NLP tasks and the best techniques for overcoming current NLP difficulties.

You will first comprehend the fundamental ideas behind NLP and deep learning, including Word2vec, semantic embedding, recurrent neural networks, and convolutional neural networks (CNNs). You will learn how to use neural networks to carry out each and every NLP task, and you'll get to use trained neural networks in NLP applications.

By the time you finish reading this book, you will be well-versed in developing deep learning-based NLP applications and overcoming NLP obstacles using industry-leading best practices.

  • 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

Ebook Details

About the Authors
  • Rajesh Arumugam is an ML developer at SAP, Singapore.
  • Rajalingappaa Shanmugamani is a deep learning lead at SAP, Singapore.
Published
Published Date / Year
(July 18, 2018); eBook (Free Edition)
Permission
Free eBook by the Publisher (Packt)
Hardcover
312 pages
eBook Format
HTML
Language
English
ISBN-10
178913949X
ISBN-13
978-1789139495

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