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Caffe (software)

Caffe (software)

Caffe is a deep learning framework made with expression, speed, and modularity in mind.

Caffe is a deep learning framework used for large-scale product cases. It has expression, it is fast and modular.

Its framework is BSD-licensed C++ library with Python and MATLAB bindings for training and deploying general purpose convolutional neural networks.

Yangqing Jia created Caffe and Berkeley AI Research (BAIR) together with community contributors developed Caffe.

Caffe powers ongoing research projects, large-scale industrial applications and startup prototypes in vision, speech, and multimedia.

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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 and Trevor Darrell

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