Deep neural networks are easily fooled: High confidence predictions for unrecognizable images

Deep neural networks (DNNs) have recently been achieving state-of-the-art performance on a variety of pattern-recognition tasks, most notably visual classification problems. Given that DNNs are now able to classify objects in images with near-human-level performance, questions naturally arise as to...

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Vydané v:	2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) s. 427 - 436
Hlavní autori:	Anh Nguyen, Yosinski, Jason, Clune, Jeff
Médium:	Konferenčný príspevok.. Journal Article
Jazyk:	English
Vydavateľské údaje:	IEEE 01.06.2015
Predmet:	Biomedical imaging Classification Computer vision Confidence Human Keyboards Labels Neural networks State of the art Volcanoes
ISSN:	1063-6919, 1063-6919
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