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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 community contributors.

Check out theproject site for all the details like

• DIY Deep Learning for Vision with Caffe
• Tutorial Documentation
• BVLC reference models and thecommunity model zoo
• Installation instructions

and step-by-step examples.

Please join thecaffe-users group orgitter chat to ask questions and talk about methods and models.Framework development discussions and thorough bug reports are collected onIssues.

Happy brewing!

Caffe is released under theBSD 2-Clause license.The BVLC reference models are released for unrestricted use.

Please cite Caffe in your publications if it helps your research:

@article{jia2014caffe,  Author = {Jia, Yangqing and Shelhamer, Evan and Donahue, Jeff and Karayev, Sergey and Long, Jonathan and Girshick, Ross and Guadarrama, Sergio and Darrell, Trevor},  Journal = {arXiv preprint arXiv:1408.5093},  Title = {Caffe: Convolutional Architecture for Fast Feature Embedding},  Year = {2014}}