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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

Scaling your applications

Scalability is the capacity for a system to handle greater and greater workloads. When we create a system or program, we want to make sure that it is scalable so that it doesn't crash upon receiving too many requests. Scaling can be done in one of two ways:

  • Scaling up: Increasing the hardware of your existing workers, such as upgrading from CPUs to GPUs.
  • Scaling out: Distributing the workload among many workers. Spark is a common framework for doing this.

Scaling up can be as easy as moving your model to a larger cloud instance. In this section, we'll be focus on how to distribute TensorFlow to scale out our applications.

Scaling out with distributed TensorFlow

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