Machine Learning - Image classification

Description

This project is a simple image classification using machine learning. The dataset used is the CIFAR-10 dataset, which consists of 60,000 32x32 color images in 10 classes, with 6,000 images per class. The classes are: airplane, automobile, bird, cat, deer, dog, frog, horse, ship, truck. The dataset is divided into 50,000 training images and 10,000 testing images.