A convolutional neural network (CNN) is a type of deep learning model primarily used for analyzing visual data like images and videos. It works by automatically learning spatial hierarchies of features through a series of layers: convolutional layers apply filters to extract features, pooling layers reduce the spatial dimensions, and fully connected layers map these features to a final output for tasks like classification.