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If you rephrase your question to "What happens when I add random noise to the inputs of a neural network and try to teach it to output a "denoised" version of the input." and you've just invented denoising autoencoders.

http://www.iro.umontreal.ca/~lisa/publications2/index.php/pu...



Alright, that's neat. Not at all what I was suggesting, but neat nonetheless.




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