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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

Deep learning methods

Deep learning is a field of machine learning based on multi-level machine learning. Each level takes the output data of the previous level as input, extracting more and more information as the depth increases. This sequence of learning levels is inspired by the way the mammalian brain processes information and learns by responding to external stimuli. Each level of learning corresponds to one of the different areas that make up the cerebral cortex.

Generic machine learning algorithms behave well on a large number of tasks, managing to solve many important problems. However, they are often not successful in solving central problems concerning the field of artificial intelligence development. The development of deep learning is motivated by the failure of traditional algorithms to perform these tasks.

One area in which deep learning has become more widespread...

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