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sabalaba
on Nov 2, 2014
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The Flaw Lurking in Every Deep Neural Net
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...
TheLoneWolfling
on Nov 2, 2014
[–]
Alright, that's neat. Not at all what I was suggesting, but neat nonetheless.
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