do that through data augmentation so this could be a random crop or you color jitter or you rotate it or something like this and then you exploit the fact that you know that these two things they should be still sort of the same image so once you send them through your through your encoder the representations of the two images they should be fairly close now let's actually read on right here Buhl relies on two neural networks referred to as online and target networks that interact and learn from each other from an augmented view of an