Deep Learning with R Cookbook

Getting ready

In this example, we will work on a sample of the Fruits 360 dataset. The dataset is credited to Horea Muresan and Mihai Oltean. The dataset was introduced in their paper, Fruit recognition from images using deep learning, which presents the results of a numerical experiment for training a neural network to detect fruits. The dataset can be downloaded from Kaggle at https://www.kaggle.com/moltean/fruits. The Fruits 360 dataset contains colored images of 103 fruits of size 100 × 100, but in our example, we will work on images of only 23 fruits. It has two subsets: a training set and a test set with samples of each fruit in directories corresponding to the fruit name.

We will start by loading the keras library:

library(keras)