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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

Deep Learning for Intelligent Agents

Intelligent Assistants are one of the most visible forms of Artificial Intelligence (AI) that we see in our daily lives. Siri, Alexa, and other systems have come to be commonplace in day-to-day life in the 21st century. This chapter will commence our section of chapters that dive deeply into the application of Artificial Neural Networks (ANNs) for creating AI systems. In this chapter, we will cover one new topic, word embeddings, and then proceed to focus on the application of Recurrent Neural Networks (RNNs) and generative networks to natural language processing tasks. While an entire book could have been written about deep learning for natural language processing, as is already the case, we'll touch upon the core concepts that you'll need to get started in building natural language AI platforms.

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