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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.
For official documentation, please visit http://caffe.berkeleyvision.org.
The official documentation for Caffe is maintained and hosted by BVLC here. This documentation is part of the Caffe source code repository and is meant to be an accurate reflection of the code.
BVLC also provides an unofficial wiki at https://github.com/BVLC/caffe/wiki.
This wiki hosts the unofficial part of the Caffe documentation, such as user-contributed examples and tips, links to blog posts and tutorials, a list of referencing publications, etc.
This wiki (https://github.com/NVIDIA/caffe/wiki) is specific to NVIDIA's fork of Caffe.