| Document Date: 2014-11-25 23:03:53
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City Courville / Beijing / P. Gradient / / Company Toyota / Amazon / Generic Visual Recognition (a) LLC / Xing / GPU / W. Group / CNN / NVIDIA Corporation / / Country China / / Event FDA Phase / / Facility A. Building / California Institute of Technology / CNN pipeline / / IndustryTerm e-prints / convolutional network / tSNE algorithm / deep convolutional network / bank / concept-bank paradigm / convolutional neural networks / twolayer convolutional network / neural networks / supervised back-propagation networks / deep convolutional neural network / large networks / convolutional networks / deep convolutional neural networks / / MarketIndex set 30 / / NaturalFeature Bay et al. / / Organization California Institute of Technology / National Science Foundation / Department of Defense / UCSD / Berkeley Vision and Learning Center / / Person Oriol Vinyals Judy Hoffman Ning / Eric Tzeng Trevor Darrell / Alex Krizhevsky / Jeff Donahue∗ Yangqing Jia / Judy Hoffman Ning Zhang Eric / Sha / / Position author / Dean / / Product DeCAF / DeCAF7 / / ProgrammingLanguage C / Python / / ProvinceOrState California / / PublishedMedium Machine Learning / / Technology tSNE algorithm / neural network / http / Machine Learning / existing protocol / /
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DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition Jeff Donahue∗ Yangqing Jia∗ Oriol Vinyals