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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

Sequence processing with RNNs

Now that we've learned about the components of RNNs, let's dive into what we can do with them. In this section, we'll look at two primary examples: machine translation and generating image captions. Later on in this book, we'll utilize RNNs to build a variety of end-to-end systems.

Neural machine translation

Machine translation represents a sequence-to-sequence problem; you'll frequently see these networks described as sequence-to-sequence (or Seq2Seq) models. Instead of utilizing traditional techniques that involve feature engineering and n-gram counts, neural machine translation maps the overall meaning of a sentence to a singular vector, and we then generate a translation...

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