A Convolutional Neural Network (CNN) is a type of neural network designed for processing structured grid-like data, such as images. CNNs use convolutional layers to apply filters (kernels) to input data, capturing spatial hierarchies and patterns like edges, textures, and shapes.
These networks consist of multiple layers, including convolutional layers, pooling layers, and fully connected layers. Convolutional layers filter input data, pooling layers reduce dimensionality, and fully connected layers perform classification or regression.
CNNs are widely used in image and video recognition, medical image analysis, and natural language processing tasks that involve grid data. Their ability to automatically extract features makes them highly effective in visual tasks.