is we are as we're training the network trained trained without data augmentation in black and with data augmentation in blue what we're looking at are based on the A's and the B's that we have the that we have learned with the network we're plugging that into our complexity measure that was on the previous previous slide and we're seeing that the measure is showing that the network that has learned using data augmentation has far lower complexity than the network that has learned with data augmentation this is both on the