something else than drop out so it's not doing the same thing drop out of course it means you drop out some of the data points in intermediate activations and that sort of gives you a noisy version of the data point this here can actually be combined with drop out which means that it gives you an additional benefit you see right here most of the best numbers happen when you use mix up plus drop out so it seems to be just an additional regularization on top of drop out pretty cool pretty cool investigation awesome alright so if you