 Finally, notice that the corruption of the input is performed only during the training phase of the DAE.Once the model has learnt the optimal parameters, in order to extract the representations from the original data no corruption is added.Contractive autoencoder adds an explicit regularizer in their objective function that forces the model to learn a function that is robust to slight variations of input values.