yeah well it won't be yeah okay so let's let's look at an application of this to something that is I would say somewhat still mysterious in the deep learning world and that is data the data augmentation so if we think of how deep networks are trained today they're typically trained with this technique called data augmentation that we don't just feed in images of been right we feed in images of translates right of been rotations have been etc and if we have a hypothesis that the images have been somehow came from a lower