Capsule Compression explained for beginners

Capsule Compression is a method used in special neural networks called Capsule Networks.

Imagine you have many small groups of information, called capsules, that contain important features in images or other data.

Capsule Compression helps to condense this large amount of information so that it takes up less space, but still retains important details.

This way, the model can work faster and requires less memory, without compromising the quality of recognition.