cvn (convolutional neural network)

A convolutional neural network (CNN) is a type of machine learning model designed to analyze visual data, like images or videos. It works by automatically detecting patterns—such as edges, textures, or shapes—through layers that filter and transform the input. These layers gradually identify more complex features, enabling the CNN to recognize objects, faces, or scenes. CNNs mimic aspects of how the human visual system processes information, making them powerful tools for tasks like image classification, object detection, and facial recognition. They learn from large datasets to improve their accuracy over time.