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Deep Learning with R Cookbook

You're reading from   Deep Learning with R Cookbook Over 45 unique recipes to delve into neural network techniques using R 3.5.x

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Product type Paperback
Published in Feb 2020
Publisher Packt
ISBN-13 9781789805673
Length 328 pages
Edition 1st Edition
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Authors (3):
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Swarna Gupta Swarna Gupta
Author Profile Icon Swarna Gupta
Swarna Gupta
Rehan Ali Ansari Rehan Ali Ansari
Author Profile Icon Rehan Ali Ansari
Rehan Ali Ansari
Dipayan Sarkar Dipayan Sarkar
Author Profile Icon Dipayan Sarkar
Dipayan Sarkar
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Table of Contents (11) Chapters Close

Preface 1. Understanding Neural Networks and Deep Neural Networks 2. Working with Convolutional Neural Networks FREE CHAPTER 3. Recurrent Neural Networks in Action 4. Implementing Autoencoders with Keras 5. Deep Generative Models 6. Handling Big Data Using Large-Scale Deep Learning 7. Working with Text and Audio for NLP 8. Deep Learning for Computer Vision 9. Implementing Reinforcement Learning 10. Other Books You May Enjoy

Working with Text and Audio for NLP

Natural language processing (NLP) is a rapidly advancing field whose overarching goal is to bridge the gap between how computers and humans understand and communicate. With the recent advancements in NLP-related technologies and applications, nowadays, computers can understand text, speech, and sentiments and analyze them without any bias in order to generate meaning. The nature of the human language and its rules makes NLP one of the most challenging branches of computer science. NLP works primarily by breaking down a language into small elements and trying to understand the relationship between them so that they make sense. This chapter will make you familiar with some of the popular NLP applications of deep learning while using R. 

In this chapter, we will cover the following recipes:

  • Neural machine translation
  • Summarizing text using...
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