LeNet

LeNet is an early type of artificial intelligence model called a convolutional neural network, designed to recognize images. It works by scanning images with small filters that detect features like edges and shapes, gradually building up an understanding of complex patterns. This process helps the system accurately identify objects, such as handwritten digits or characters. LeNet's architecture was foundational in advancing image recognition technology, demonstrating how machines can learn to see and interpret visual data in a way similar to human perception.