Learning the architecture of a CNN classifier

The CNN classifier covered in this chapter has two convolution layers followed by two fully connected layers in the end, in which the last layer acts as a classifier using the softmax activation function.

Getting ready

The recipe requires the CIFAR-10 dataset. Thus, the CIFAR-10 dataset should be downloaded and loaded into the R environment. Also, images are of size 32 x 32 pixels.

How to do it...

Let's define the configuration of the CNN classifier as follows:

1. Each input image (CIFAR-10) is of size 32 x 32 pixels and...