CIFAR-10 is dataset of 60,000 colour pictures divided in 10 categories (airplane, automobile, bird, cat, deer, dog, frog, horse, ship and truck) and 32x32 pixels in size.
This dataset is often used to test image classification algorithms. This repository presents a simple convolutional neural network trained on this dataset.
