Convolution Neural Networks

Convolutional Neural Networks (CNNs) are a type of artificial intelligence designed to recognize patterns and interpret visual data, like images. They work by scanning the image with small, overlapping filters that detect features such as edges, textures, or shapes. These features are then combined layer by layer to identify complex objects or scenes. CNNs effectively mimic how the human visual system processes information, enabling computers to perform tasks like object recognition, facial identification, or medical image analysis with high accuracy. They are foundational in many modern applications involving image and video understanding.