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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

The Natural Language Toolkit

The NLTK 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 Python language. It was developed by Steven Bird and Edward Loper at the University of Pennsylvania's Department of Computer and Information Science. The NLTK includes graphical tools and sample data and is accompanied by a book that exposes the concepts behind natural language problems solved by the toolkit programs, as well as a cookbook for the most common procedures.

NLTK aims to support the research and teaching of NLP and other related fields, such as linguistics, cognitive science, artificial intelligence, information retrieval, and machine learning. NLTK has been used successfully as an aid to teaching, as a tool for individual study, and as a platform for prototyping...

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