Convolutional Neural Networks (CNNs)

Convolutional Neural Networks (CNNs) are a type of artificial intelligence used primarily for analyzing visual data like images and videos. They work by automatically detecting patterns, such as edges, textures, and shapes, through layered filters that scan across the input. These filters help the network learn which features are important for tasks like recognizing objects or faces. As data passes through multiple layers, CNNs build a hierarchical understanding of the image, enabling accurate classification or detection. They are efficient because they focus on relevant details, making them powerful tools for computer vision applications.