Build a Convolutional Neural Network (CNN) that recognizes traffic signs.

This project focuses on multi-class image classification using CNNs with the CIFAR-10 dataset. It compares a baseline and an enhanced model to classify 10 categories, including trucks, for real-world applications like preventing deer-vehicle collisions. Includes architecture, training, and evaluation insights.

A machine learning program in Java that makes multi-class image classifications