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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

Building Neural Networks with CNTK

In the previous chapter, we talked about what deep learning is, and how neural networks work on a conceptual level. Finally, we talked about CNTK, and how to get it installed on your machine. In this chapter, we will build our first neural network with CNTK and train it.

We will look at building a neural network using the different functions and classes from the CNTK library. We will do this with a basic classification problem.

Once we have a neural network for our classification problem, we will train it with sample data obtained from an open dataset. After our neural network is trained, we will look at how to use it to make predictions.

At the end of this chapter, we will spend some time talking about ways to improve your model once you've trained it.

In this chapter, we will cover the following topics:

  • Basic neural network concepts...
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