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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

Extensions of RNNs

There have been many extensions of vanilla RNNs over the past several years. This is by no means an exhaustive list of all of the great advances in RNNs that are happening in the community, but we're going to review a couple of the most notable ones: Bidirectional RNNs, and NTM.

Bidirectional RNNs

In recent years, researchers have developed several improvements on the traditional RNN structure. Bidirectional RNNs were developed with the idea that they may not only depend on the information that came before in a sequence, but also the information that comes afterwards. Structurally, they are just two RNNs that are stacked on top of each other, and their output is a combination of the hidden states of...

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