the same class all of those are going to be pushed apart from a red dot but by themselves being pushed together to their own cluster here of their own class I hope this makes sense and I hope the difference to the cross-entropy objective is sort of clear the cross-entropy objective simply from the beginning just cares about which side of the decision boundary iran while this pre-training objective first cares to put things close together that are in the same class and then the decision classifier will have a much easier time