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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 FREE CHAPTER 2. Building Neural Networks with CNTK 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

Using machine learning in a DevOps environment

Most modern software development happens in an agile fashion, in an environment where developers and IT-pros work on the same project. The software we're building often is deployed to production through continuous integration and continuous deployment pipelines. How are we going to integrate machine learning in this modern environment? And does it mean we have to change a lot when we start building AI solutions? These are some of the frequently asked questions you can run into when you introduce AI and machine learning to the workflow.

Luckily, you don't have to change your whole build environment or deployment tool stack to integrate machine learning into your software. Most of the things that we'll talk about will fit right into your existing environment.

Let's take a look at a typical continuous delivery scenario...

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