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| Keywords: Classification of images progress human.png en Progress in machine classification of images the error rate of the ImageNet competition winner by year Red line - the error rate of a trained human annotator 5 1 Information about the ImageNet competition is http //image-net org/about-overview here It's one of the most reputable competitions in the field sponsored by the Stanford University Princeton University Google and A9 Source of the data Dean Takahashi http //venturebeat com/2015/03/18/google-expert-explains-why-deep-learning-neural-nets-are-hot-in-everything-from-games-to-recognizing-cats/ Google expert explains why deep-learning neural nets are hot in everything from games to recognizing cats // VentureBeat March 18 2015 Additional information about the data John Markoff http //bits blogs nytimes com/2014/08/18/computer-eyesight-gets-a-lot-more-accurate/ _r 0 Machine Vision Takes Big Step // The New York Times the New York edition page B6 08/25/2014 Andrej Karpathy Fei-Fei Li http //cs stanford edu/people/karpathy/sfmltalk pdf Automated Image Captioning with ConvNets and Recurrent Nets 2014 Jordan Novet http //venturebeat com/2015/02/09/microsoft-researchers-say-their-newest-deep-learning-system-beats-humans-and-google/ Microsoft researchers say their newest deep learning system beats humans ” and Google // VentureBeat February 9 2015 Andrej Karpathy http //karpathy github io/2014/09/02/what-i-learned-from-competing-against-a-convnet-on-imagenet/ What I learned from competing against a ConvNet on ImageNet // github io Sep 2 2014 O Russakovsky J Deng H Su J Krause S Satheesh S Ma Z Huang A Karpathy A Khosla M Bernstein et al Imagenet large scale visual recognition challenge ArXiv 1409 0575 2014 Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun http //arxiv org/pdf/1502 01852 Delving Deep into Rectifiers Surpassing Human-Level Performance on ImageNet Classification Data 2011 - 25 7 2012 - 16 4 2013 - 11 7 2014 - 6 7 2015 - 4 8 2015-05-14 own Sandegud other versions cc-zero Uploaded with UploadWizard Computer vision Artificial intelligence applications | ||||
