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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 environment for controlling robot mobility

A typical feature of autonomous systems is mobility. A robot that performs the intended task needs to move physically within an environment, and must inevitably incorporate a certain autonomy that allows it to move safely, avoiding obstacles and not posing a threat to any nearby living beings.

Obviously, different levels of autonomy can be identified, from fully autonomous systems that never, or almost never, require human intervention, to remote controlled systems that can be more or less autonomous, depending on whether they rely solely on the commands given to them or whether some part of the operations is decided by the robot itself.

To create an automatic system to control the mobility of a robot, it is essential to have a suitable environment that allows us to simulate the system in a virtual environment. In this way, we will...

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