The margin loss function is a new loss function introduced in Capsule Networks. It enables the network to adjust the lengths of instantiation vectors for each capsule, corresponding to each possible digit class. This loss function aids in training the network to correctly classify and adjust the presence of different digits. By adjusting the lengths of the vectors, the margin loss function enhances the network's ability to distinguish between different classes.