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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

Summary

In this chapter, we learned about deep learning and its relationship to machine learning and AI. We looked at the basic concepts behind deep learning and how to train a neural network using gradient descent. We then talked about CNTK, what it is, and what features the library offers to build deep learning models. We finally spent some time discussing how to install CNTK on Windows and Linux and how to use your GPU should you want to.

In the next chapter, we will learn how to build basic neural networks with CNTK so we get a better understanding of how the concepts in this chapter work in code. We will also discuss the different ways we can use various components in our deep learning model for different scenarios.

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