This example shows how to make a CNN for classifying images in the CIFAR-10 dataset. We'll be using a simple convolution neural network implementation of a couple of convolutions and fully connected layers.

Even though the network architecture is very simple, you will see how well it performs when trying to detect objects in the CIFAR-10 images.

So, let's start off this implementation.