Capsule Network Sparsity Explained for Beginners

Capsule Network Sparsity describes how in a capsule network only a few important connections are active, while others remain turned off.

This helps the computer focus on the most important information and not be distracted by unimportant details.

Imagine you are looking at a picture and your brain selects only the most important features to understand what you see.

This way, capsule networks can work more sparsely and efficiently while better recognizing important patterns.

This makes learning and recognizing objects more accurate and faster.