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Capsule Networks

[ˈkæpsjul ˈnɛtˌwɜrks]
Deep Learning
Last updated: December 9, 2024

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

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