the weight decay coefficient enough label smoothing will not actually introduce mistakes it will just reduce the confidence of the correct classifications but it will never actually steer the model toward an incorrect classification so if regenerative adverse Erichs this allows it the discriminator it is still more or less know which direction is real data in which direction is fake data but it doesn't actually result in it miss guiding the generator and it gets rid of really large gradients it gets rid of behaviors where the discriminator