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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

Natural language processing

NLP aims to implement IT 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. By natural language, we mean the language that we use in everyday life, such as English, Chinese, or Arabic, and that's synonymous with human language, mainly to distinguish it from formal language, including computer language. Natural language is the most natural and common form of communication, not only in its spoken version, but also in its written one. Compared to formal language, natural language is much more complex and often contains implications and ambiguities, which makes it very difficult to elaborate. Two goals can be pursued: text analysis and text generation. These characteristics define the following disciplines:

  • Natural language analysis...

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