For a standard convolutional net, the low-entropy formulation of for isntance rotation is not immediately accessible, which makes rotation a viable data augment

For a standard convolutional net, the low-entropy formulation of for isntance rotation is not immediately accessible, which makes rotation a viable data augmentation and regularization strategy. Some designs try to account for natural symmetries by incorporating the related transformation as priors in the architecture.