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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

Robot control overview

A robot is a machine that performs certain actions based on the commands that are provided, either on the basis of direct human supervision, or independently based on general guidelines, using Artificial Intelligence (AI) processes. These tasks should typically be performed to replace or assist humans, such as in the fields of manufacturing, construction, or the handling of heavy and dangerous materials, in prohibitive or incompatible environments with the human condition, or simply to free a person from commitments. The following image shows a remotely operated underwater vehicle (ROV):

A robot should be equipped with guided connections, thus using feedback between perceptions and actions, and should not be guided by direct human control. Actions can be performed with electromagnetic motors or actuators that move a limb, open and close a gripper, or move...

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