A capsule neural network is a type of artificial neural network designed to represent hierarchical relationships among features more explicitly than conventional neural networks. It groups neurons into capsules that can encode properties such as pose, orientation, or part-whole structure.
A machine learning system that is a type of artificial neural network (ANN) that can be used to better model hierarchical relationships. The approach is an attempt to more closely mimic biological neural organization.