L1 Regularization, L2 Regularization, Regularization, Early Stopping, Dropout.
the training data. 4. Data Augmentation Data augmentation is a regularization technique, particularly popular in computer vision. It involves creating new training examples by applying random transformations to your existing data, like rotating, cropping, or flipping images. Imagine practicing a