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Keras Reinforcement Learning Projects

You're reading from   Keras Reinforcement Learning Projects 9 projects exploring popular reinforcement learning techniques to build self-learning agents

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Product type Paperback
Published in Sep 2018
Publisher Packt
ISBN-13 9781789342093
Length 288 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. Overview of Keras Reinforcement Learning 2. Simulating Random Walks FREE CHAPTER 3. Optimal Portfolio Selection 4. Forecasting Stock Market Prices 5. Delivery Vehicle Routing Application 6. Continuous Balancing of a Rotating Mechanical System 7. Dynamic Modeling of a Segway as an Inverted Pendulum System 8. Robot Control System Using Deep Reinforcement Learning 9. Handwritten Digit Recognizer 10. Playing the Board Game Go 11. What's Next? 12. Other Books You May Enjoy

Handwritten Digit Recognizer

The term handwriting recognition (HWR) refers to the ability of a computer to receive and interpret intelligible handwritten input from sources such as paper documents, photographs, and touchscreens. Written text can be detected on a piece of paper with optical scanning (Optical Character Recognition (OCR)) or intelligent word recognition. Alternatively, the movements of a pen tip can be detected, for example from a surface of the computer screen, a task that is generally easier as there are more clues available. These activities involve a wide range of practical applications, including the recognition of online spelling on tablet computers, recognition of the zip code to help sort sent mail, and the verification of signatures in the context of financial transactions.

In this chapter, you will work on building a handwritten digit recognizer in Python...

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