CNN (Convolutional Neural Networks)

CNNs use specialized layers called convolutional layers to automatically detect features such as edges, shapes, textures, and more complex visual patterns. As data moves through the network, different layers learn increasingly detailed representations. CNNs often also use pooling and fully connected layers to reduce data complexity and produce final predictions or classifications.

CNNs can automatically learn important visual features without requiring developers to manually define them. This makes them highly effective for processing complex image data and has made CNNs a foundational architecture in modern computer vision and image-based AI applications.