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Machine Learning with TensorFlow 1.x

You're reading from   Machine Learning with TensorFlow 1.x Second generation machine learning with Google's brainchild - TensorFlow 1.x

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Product type Paperback
Published in Nov 2017
Publisher Packt
ISBN-13 9781786462961
Length 304 pages
Edition 1st Edition
Languages
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Authors (3):
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 Hua Hua
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Hua
 Ahmed Ahmed
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Ahmed
 Ul Azeem Ul Azeem
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Ul Azeem
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Toc

Table of Contents (19) Chapters Close

Title Page
Credits
About the Authors
About the Reviewer
www.PacktPub.com
Customer Feedback
Preface
1. Getting Started with TensorFlow FREE CHAPTER 2. Your First Classifier 3. The TensorFlow Toolbox 4. Cats and Dogs 5. Sequence to Sequence Models-Parlez-vous Français? 6. Finding Meaning 7. Making Money with Machine Learning 8. The Doctor Will See You Now 9. Cruise Control - Automation 10. Go Live and Go Big 11. Going Further - 21 Problems 12. Advanced Installation

Overview of Mechanical Turk


Mechanical Turk is a service that allows us to create and manage online human intelligence tasks that will be completed by human workers. There are lots of tasks that humans can do better than computers. Therefore, we can take advantage of this service to support our machine learning system.

You can view this system at https://www.mturk.com. Here is the website of the service:

Here are a couple of examples of tasks that you can use to support your machine learning system:

  • Dataset labeling: You usually have a lot of unlabeled data, and you can use Mechanical Turk to help you build a consistent ground truth for your machine learning workflow.
  • Generate dataset: You can ask the workers to build a large amount of training data. For example, we can ask workers to create text translations or chat sentences for a natural language system. You can ask them to annotate the sentiments of the comments.

Beyond labeling, Mechanical Turk can also clean up your messy datasets ready...

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