A Convolutional Neural Network (CNN) is a deep learning model specifically designed for processing structured grid data, such as images. CNNs employ convolutional layers to automatically learn and extract features from visual inputs, which makes them highly effective for image classification, object detection, and segmentation tasks. By using layers like convolutional, pooling, and fully connected layers, CNNs can identify complex patterns and structures within images.