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R Deep Learning Essentials - Second Edition
book

R Deep Learning Essentials - Second Edition

by Mark Hodnett, Joshua F. Wiley
August 2018
Intermediate to advanced
378 pages
9h 9m
English
Packt Publishing
Content preview from R Deep Learning Essentials - Second Edition

Using data augmentation to increase the training data

We are going to apply data augmentation to the MNIST dataset that we used in previous chapters. The code for this section is in Chapter6/explore.Rmd if you want to follow along. In Chapter 5, Image Classification Using Convolutional Neural Networks, we plotted some examples from the MNIST data, so we won't repeat the code again. It is included in the code file, and you can also refer back to the image in Chapter 5Image Classification Using Convolutional Neural Networks:

Figure 6.3: The first 9 images in the MNIST dataset

We described data augmentation as creating new data from an existing ...

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Publisher Resources

ISBN: 9781788992893Supplemental Content