regularization

Data augmentation: teaching a model more without collecting more Lesson

Data augmentation multiplies a training set by transforming existing examples in ways that change the input but not the answer, teaching a model which differences to ignore -- and the choice of transformation encodes exactly what you want it to be blind to.