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Deep Learning with Microsoft Cognitive Toolkit Quick Start Guide

You're reading from   Deep Learning with Microsoft Cognitive Toolkit Quick Start Guide A practical guide to building neural networks using Microsoft's open source deep learning framework

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Product type Paperback
Published in Mar 2019
Publisher Packt
ISBN-13 9781789802993
Length 208 pages
Edition 1st Edition
Languages
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Author (1):
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Willem Meints Willem Meints
Author Profile Icon Willem Meints
Willem Meints
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Toc

Table of Contents (9) Chapters Close

Preface 1. Getting Started with CNTK 2. Building Neural Networks with CNTK FREE CHAPTER 3. Getting Data into Your Neural Network 4. Validating Model Performance 5. Working with Images 6. Working with Time Series Data 7. Deploying Models to Production 8. Other Books You May Enjoy

Deploying Models to Production

In the previous chapters of this book, we've worked on our skills for developing, testing, and using various deep learning models. We haven't talked much about the role of deep learning within the broader context of software engineering. In this last chapter, we will use the time to talk about continuous delivery, and the role of machine learning within this context. We will then look at how you can deploy models to production with a continuous delivery mindset. Finally, we will look at Azure Machine Learning service to properly manage the models you develop.

The following topics will be covered in this chapter:

  • Using machine learning in a DevOps environment
  • Storing models
  • Using Azure Machine Learning service to manage models
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