CNN Architectures

Convolutional Neural Networks (CNNs) are a type of artificial intelligence designed to recognize patterns, especially in images and videos. They work by using layers that process visual data, mimicking how our brains analyze images. The first layers detect simple features like edges and colors, while deeper layers identify more complex shapes and patterns. This hierarchical approach allows CNNs to excel in tasks like image classification, facial recognition, and object detection, making them powerful tools in fields like healthcare, autonomous vehicles, and security. Their efficiency stems from their ability to learn and adapt through training on large datasets.