data set which are reasonably small and you can run a lot of prototyping experiments with that so the four algorithms we're going to be looking at our PI model temporal ensemble main teacher and virtual adversary training so basically let's look at the PI model basically the idea is pretty much whatever we talked about our legal consistency you take your image you are creative different views using the stochastic a dog hunter but stochastic it could be at a random crop or a sequence of data augmentations whose sequence is randomized or but