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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
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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

Validating Model Performance

When you've built a deep learning model using neural networks, you are left with the question of how well it can predict when presented with new data. Are the predictions made by the model accurate enough to be usable in a real-world scenario? In this chapter, we will look at how to measure the performance of your deep learning models. We'll also dive into tooling to monitor and debug your models.

By the end of this chapter, you'll have a solid understanding of different validation techniques you can use to measure the performance of your model. You'll also know how to use a tool such as TensorBoard to get into the details of your neural network. Finally, you will know how to apply different visualizations to debug your neural network.

The following topics will be covered in this chapter:

  • Choosing a good strategy to validate model...
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