The CIFAR-10 dataset is made up of 60,000 32 x 32 color images that belong to 10 classes, with 6,000 images per class. I'll be using 50,000 images as a training set, 5,000 images as a validation set, and 5,000 images as a test set.

The input tensor layer for the convolutional neural network will be (N, 32, 32, 3), which we will pass to the build_network function as we have previously done. The following code is used to build the network:

def build_network(num_gpu=1, input_shape=None):
   inputs = Input(shape=input_shape, name="input")