neural nets and like like the way they did the ear and that's a design is much different like the kind of nonlinearities used are very different so so this may not be particularly in a appealing idea to use in the current current infrastructure so finally one utility of the denoising auto-encoder is that once you've learned sufficient layers with the stark denoising auto-encoder you could basically have a target like a class table and just freeze all the features that you've learnt from the auto encoder and have a supervised layer on top make