Difference between revisions of "Caffe (software)"

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Latest revision as of 15:18, 3 September 2016

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

It is developed by the Berkeley Vision and Learning Center (BVLC) and by community contributors.

Yangqing Jia created the project during his PhD at UC Berkeley.

Caffe is released under the BSD 2-Clause license.

See also

External links