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Hands-On Artificial Intelligence for Beginners

You're reading from   Hands-On Artificial Intelligence for Beginners An introduction to AI concepts, algorithms, and their implementation

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Product type Paperback
Published in Oct 2018
Publisher Packt
ISBN-13 9781788991063
Length 362 pages
Edition 1st Edition
Languages
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Authors (2):
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David Dindi David Dindi
Author Profile Icon David Dindi
David Dindi
Patrick D. Smith Patrick D. Smith
Author Profile Icon Patrick D. Smith
Patrick D. Smith
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Table of Contents (15) Chapters Close

Preface 1. The History of AI 2. Machine Learning Basics FREE CHAPTER 3. Platforms and Other Essentials 4. Your First Artificial Neural Networks 5. Convolutional Neural Networks 6. Recurrent Neural Networks 7. Generative Models 8. Reinforcement Learning 9. Deep Learning for Intelligent Agents 10. Deep Learning for Game Playing 11. Deep Learning for Finance 12. Deep Learning for Robotics 13. Deploying and Maintaining AI Applications 14. Other Books You May Enjoy

Introduction

Traditional robotics, known as Robotics Process Automation, is the process of automating physical tasks that would normally be done by a human. Much like the term machine learning covers a variety of methods and approaches, including deep learning approaches; robotics covers a wide variety of techniques and methods. In general, we can break these approaches down into two categories: traditional approaches and AI approaches.

Traditional robotic control programming takes a few steps:

  1. Measurement: The robot receives data from its sensors regarding actions to take for a given task.
  2. Inference: The orientation of the robot is relative to its environment from the data received in the sensors.
  3. Modeling: Models what the robot must do at each state of action to complete an action.
  4. Control: Codes the low-level controls, such as the steering mechanism, that the model will...
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