and get the Layden's in a very useful way so there are various different versions of noise that you can add to in put in in a denoising auto-encoder so in the original denoising auto-encoder paper they considered the task of Ensenada they considered three different noises additive isotropic Gaussian noise where you basically just add Gaussian noise to the pixels and another version is the masking noise where you basically some fraction of your input pixels I just chosen at random and you just forced into zero which K you just mash