Definition
A neural network architecture designed to better handle spatial relationships between features in data.
Detailed Explanation
Capsule Networks use groups of neurons (capsules) to represent specific entities or features and their properties. They utilize dynamic routing algorithms to model hierarchical relationships, addressing limitations of traditional CNNs in understanding spatial relationships and viewpoint variations.
Use Cases
3D object recognition, Facial recognition systems, Medical image analysis
