Regularization, Overfitting, Dropout Regularization, Early Stopping, Elastic Net.
This is a technique used to prevent overfitting by artificially enlarging the size of the training data by applying random but realistic transformations to the existing data. Data augmentation is often applied to image data: below you can see some different augmentation techniques (mirroring,