Capsule Routing explained for beginners

Capsule Routing describes the process by which different parts of information in a neural network work together to understand an overall picture.

You can imagine it like a team where individual members exchange their results to make a better decision together.

In the context of artificial neural networks, routing methods help to connect important features from data and recognize how they belong together.

This way, machines can, for example, recognize whether different parts of an image together form an object.

Capsule Routing ensures that the network not only sees individual features but also understands their relationship to each other.