Both CNN models are trained using minibatched gradientdescent with momentum. Random mirroring is used for dataaugmentation, along with 50% dropout on convolutionallayers replacing fully connected layers. The learning rate be-gins at 1e-6, a hundredth of the ending learning rate of theVGG model. All other hyperparameters are the same as in the