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Keras 2.x Projects

You're reading from   Keras 2.x Projects 9 projects demonstrating faster experimentation of neural network and deep learning applications using Keras

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Product type Paperback
Published in Dec 2018
Publisher Packt
ISBN-13 9781789536645
Length 394 pages
Edition 1st Edition
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Author (1):
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Giuseppe Ciaburro Giuseppe Ciaburro
Author Profile Icon Giuseppe Ciaburro
Giuseppe Ciaburro
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Table of Contents (13) Chapters Close

Preface 1. Getting Started with Keras FREE CHAPTER 2. Modeling Real Estate Using Regression Analysis 3. Heart Disease Classification with Neural Networks 4. Concrete Quality Prediction Using Deep Neural Networks 5. Fashion Article Recognition Using Convolutional Neural Networks 6. Movie Reviews Sentiment Analysis Using Recurrent Neural Networks 7. Stock Volatility Forecasting Using Long Short-Term Memory 8. Reconstruction of Handwritten Digit Images Using Autoencoders 9. Robot Control System Using Deep Reinforcement Learning 10. Reuters Newswire Topics Classifier in Keras 11. What is Next? 12. Other Books You May Enjoy

Summary

In this chapter, we addressed natural language processing basics. Natural language processing aims to implement tools to analyze, understand, and generate texts that people can understand naturally, as if they were communicating with another human interlocutor and not a computer. To begin with, we saw the different phases of text analysis that make it a multilevel structure. The fundamental levels on which the analysis of a sentence is based were addressed. Then, the most frequent applications using natural language processing were analyzed. So the procedures necessary for the treatment of the text were examined.

In the second part of this chapter, we focused on the Natural Language Toolkit, which is a suite of libraries and programs for symbolic and statistical analysis in the field of natural language processing mainly in the English language written in the Python language...

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