explained why exactly that is so helpful but we just know that if if we have the target to be not the same as the the online parameters but actually a kind of a stable version of the past of the online parameters then that tends to work well again it's kind of the same principle as with the augmentations with the augmentations we have two different versions of the same image and now with this procedure here we sort of have two different versions of the same neural network but they're slightly different right and this idea you know has been