We will use the iris dataset in this recipe. It is a multivariate dataset that consists of 50 samples that belong to three species of iris flower— setosa, virginica, and versicolor. Each sample contains four feature measurements; that is, the length and width of the sepals and petals in centimeters. We will use the keras package in order to utilize the deep learning functions for classification and the datasets library to import the iris dataset:

library(keras)
library(datasets)

In the next section, we will look at the data in more detail.