What is a Convolutional Neural Network (CNN)?

A CNN is a deep learning architecture specialized for processing spatial data such as images.

Convolutional Neural Networks use convolution operations to automatically learn spatial hierarchies in data. Instead of connecting every neuron to all inputs like traditional ANNs, CNNs apply filters that scan across images to detect patterns such as edges, textures, and shapes. Pooling layers reduce spatial dimensions while preserving important features. CNNs are highly efficient because they use parameter sharing and local receptive fields, making them ideal for computer vision tasks.