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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

Measuring performance for out-of-memory datasets

We've talked a lot about different methods to validate the performance of your neural networks. So far, we've only had to deal with datasets that fit in memory. But this is almost never the case in production scenarios, since you need a lot of data to train a neural network. In this section, we'll discuss how to use the different metrics on out-of-memory datasets.

Measuring performance when working with minibatch sources

When you use a minibatch data source, you need a slightly different setup for the loss and metric. Let's go back and review how you can set up training using a minibatch source and extend it with metrics to validate the model. First, we...

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