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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

Working with small in-memory datasets

There are many ways in which you can feed data to the CNTK trainer. Which technique you should use depends on the size of the dataset and the format of the data. Let's take a look at how to work with smaller in-memory datasets first.

When you work with in-memory data in Python you will most likely use a framework such as Pandas or NumPy. These frameworks work with vectors and matrices of floating point or object data at their core and offer various levels of convenience when it comes to working with data.

Let's go over each of these libraries and explore how you can use data stored in these libraries to train your neural network.

Working with numpy arrays

The first library we...

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