apply an augmentation to that data point so we can twist it around a little bit you know flip it change the colours invert you know just make it look different and the prediction that the model gives from those two versions of the data point ought to be the same so example if I have here a picture of a horse I can apply one random data augmentation to the picture and I can apply a second random data augmentation and then what I'm going to do is enforce that the model makes the same decision about this data point for both of those