thing adopted and Sinclair which is you just take X your input your image mini-batch you perform two different augmentations to it get exciting the UNIX j2d you pass them to the same rest that encoder and you get hecha in history and there is another encoder or another MLP head which takes these mean pool rest net embeddings and puts it into a lower dimension for the contrast of loss and then you just operate the same influency loss with unit vectors similar to moco so the new innovation in Sim CLR is this G