Convolutional Neural Networks

Convolutional Neural Networks (CNNs) are a type of artificial intelligence designed to recognize patterns in visual data, such as images and videos. They work by analyzing small sections of the input data through multiple layers, detecting features like edges or shapes. This hierarchical approach allows CNNs to understand complex visuals more effectively, making them particularly useful for tasks like image classification, facial recognition, and object detection. Essentially, CNNs mimic how humans visually process information, enabling machines to interpret and understand images with impressive accuracy.