Deep Learning with R Cookbook

How it works...

The keras library in R provides various datasets, using which we can develop deep learning models. In step 1, we imported the Fashion-MNIST dataset, using the dataset_fashion_mnist() function and checked the dimensions of its training and testing partitions. We also looked at the data and label of a sample image. Next, we defined the label names for the data and visualized one sample image for each label. 

Base R graphics provide functions to plot interesting plots. The par() function is used to set various graphical parameters, and the image() function creates a grid of colored or grayscale rectangles with colors corresponding to the values in the image matrix.

In step 2, we reshaped our data and normalized it within the ...