Implementation of a deep denoising autoencoder trained using layerwise pre-training ('stacking' shallow autoencoders) and later fine tuned on MNIST dataset. Refer to famous Hinton's and Salakhutdinov paper for further information on layerwise pre-training.
Also take a look at the result of feeding random noise to the fully trained autoencoder here.