Which of the following techniques are considered as regularization in deep learning EXCEPT?

Which of the following techniques are considered as regularization in deep learning EXCEPT?

Slow learning $+$ Early Stop

Dropout

Data Augmentation $($for example add noise to images, rotate images while keeping image labels unchanged!$)$

Backpropagation