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Python Reinforcement Learning Projects

You're reading from   Python Reinforcement Learning Projects Eight hands-on projects exploring reinforcement learning algorithms using TensorFlow

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Product type Paperback
Published in Sep 2018
Publisher Packt
ISBN-13 9781788991612
Length 296 pages
Edition 1st Edition
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Authors (3):
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Sean Saito Sean Saito
Author Profile Icon Sean Saito
Sean Saito
Rajalingappaa Shanmugamani Rajalingappaa Shanmugamani
Author Profile Icon Rajalingappaa Shanmugamani
Rajalingappaa Shanmugamani
Yang Wenzhuo Yang Wenzhuo
Author Profile Icon Yang Wenzhuo
Yang Wenzhuo
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Toc

Advantages of NAS


The biggest advantage of NAS is that one does not need to spend copious amounts of time designing a neural network for a particular problem. This also means that those who are not data scientists can also create machine learning agents as long as they can prepare data. In fact, Google has already productized this framework as Cloud AutoML, which allows anyone to train customized machine learning models with minimum effort. According to Google, Cloud AutoML provides the following benefits:

  • Users only need to interact with a simple GUI to create machine learning models.
  • Users can have Cloud AutoML annotate their own datasets if they are not labeled already. This is similar to Amazon's Mechanical Turk service.
  • Models generated by Cloud AutoML are guaranteed to have high accuracy and fast performance.
  • Easy end-to-end pipeline for uploading data, training and validating the model, deploying the model, and creating a REST endpoint for fetching predictions.

Currently, Cloud AutoML...

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