| Document Date: 2014-08-21 20:13:43
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City Mountain View / / Company Baidu / Adobe / Neural Networks / GPU / Google / Facebook / Convolutional Neural Networks / GitHub / NVIDIA / / / Event FDA Phase / / Facility Amphitheater Pkwy / R-CNN pipeline / / IndustryTerm software engineering / large-scale industrial applications / Selective search / inner products / software substrate / online demo3 showing state-of-the-art object classification / network software / internet-scale media needs / standalone web interface / machine learning systems / trainable recognition systems / stochastic gradient descent algorithm / typical network / learning algorithms / / Movie Finetuning / / OperatingSystem Mac OS X / Linux / BSD / Microsoft Windows / / Organization UC Berkeley / US Federal Reserve / Berkeley EECS / Berkeley Vision and Learning Center / / Person P. Lamblin / V / Sergey Karayev / Trevor Darrell / Jeff Donahue / Sergio Guadarrama / Ross Girshick / Evan Shelhamer / Jonathan Long / / Position research scientist / researcher / General / engineer / / Product Titan / Buffers1 / / ProgrammingLanguage MATLAB / PASCAL / Python / C++ / / ProvinceOrState California / / PublishedMedium Machine Learning / / Technology neuroscience / speech recognition / Linux / Machine Learning / Lua / deep learning algorithms / stochastic gradient descent algorithm / cellular telephone / neural network / / URL http /
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Caffe: Convolutional Architecture for Fast Feature Embedding∗ Yangqing Jia∗ , Evan Shelhamer∗ , Jeff Donahue, Sergey Karayev, Jonathan Long, Ross Girshick, Sergio Guadarrama, Trevor Darrell UC Berkeley EECS, Berkel