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And that's why when you eg training CNN for MNIST you usually nudge and rotate numbers so you can get those weird edge cases.


I can't imagine a transformation which consistently produces nose-like features to the sides of an eye-like feature () for non-face source image, thus I doubt that the network will be able learn that such an image () is not a face. In the best case it will recognize the image as a tureen.




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