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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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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

Summary

In this chapter, we've looked at what it takes to bring deep learning and machine learning models to production. We've explored some of the basic principles that will help you to be successful with deep learning in a continuous delivery environment.

We've taken a look at exporting models to ONNX to make it easier to deploy your trained models to production and keep them running for years, thanks to the portable nature of the ONNX format. We then explored how you can use the CNTK API in other languages, such as C#, to make predictions.

Finally, we've looked at using Azure Machine Learning service to level-up your DevOps experience with experiment management, model management, and deployment tools. Although you don't need a tool like this to get started, it really helps to have something like Azure Machine Learning service in your arsenal when...

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