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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 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

Getting Data into Your Neural Network

There are many techniques you can use to load data to train a neural network or make predictions. What technique you use depends on how large your dataset is and in what format you've stored your data. In the previous chapter, we've seen how to feed data into a CNTK trainer manually. In this chapter, we will learn more ways to feed data into your neural network.

The following topics will be covered in this chapter:

  • Training your neural network efficiently with minibatches
  • Working with small in-memory datasets
  • Working with large datasets
  • Taking control over the minibatch loop
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