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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

Technical requirements

We assume you have a recent version of Anaconda installed on your computer and have followed the steps in Chapter 1, Getting Started with CNTK, to install CNTK on your computer. The sample code for this chapter can be found in our GitHub repository at https://github.com/PacktPublishing/Deep-Learning-with-Microsoft-Cognitive-Toolkit-Quick-Start-Guide/tree/master/ch4.

In this chapter, we'll work on a few examples stored in Jupyter Notebooks. To access the sample code, run the following commands inside an Anaconda prompt in the directory where you've downloaded the code:

cd ch4
jupyter notebook

We'll mention relevant notebooks in each of the sections so you can follow along and try out different techniques yourself.

Check out the following video to see the code in action:

http://bit.ly/2TVuoR3

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