R Deep Learning Essentials - Second Edition

Using data augmentation in deep learning libraries

We implemented data augmentation using R packages and it took a long time to generate our augmented data. It was useful for demonstration purposes, but MXNet and Keras support data augmentation functions. In MXNet, there are a range of functions in mx.image.* to do this (https://mxnet.incubator.apache.org/tutorials/python/data_augmentation.html). In Keras, this is in keras.preprocessing.* (https://keras.io/preprocessing/image/), which applies these automatically to your models. In Chapter 11, The Next Level in Deep Learning, we show how to apply data augmentation using Keras.