Advanced · Neural Networks
Capsule neural network (CapsNet)
Visual diagram · (in preparation) · Math · (in preparation) · Worked example · 3 difficulty levels.
TL;DR. A type of neural network that models hierarchical relationships more effectively by using 'capsules' to represent entities and their properties.
Technical Definition
A type of neural network that models hierarchical relationships more effectively by using 'capsules' to represent entities and their properties.
How it works
Capsule Neural Networks (CapsNets) are an advanced type of artificial neural network designed to overcome limitations of traditional convolutional networks. They use 'capsules,' which are groups of neurons, to encode multiple properties of an entity. This structure better captures hierarchical relationships and spatial orientations, inspired by biological neural organization.
Related Concepts
- Neural Network — A computing system inspired by biological neural networks that learns patterns from data through interconnected layers of nodes.
- Convolutional Neural Network (CNN) — A neural network that uses learnable filters to detect spatial patterns like edges, textures, and objects in images.