A type of artificial intelligence designed to better model hierarchical relationships, based on a hierarchical structure similar to the brain’s processing system.
A capsule neural network could be used to analyze a set of images and identify objects within them, such as recognizing individual people, animals, or vehicles. The network would learn to recognize these objects at multiple levels of abstraction, from basic features like edges and corners to more complex features like faces and bodies.