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authorEvan Shelhamer <>2015-02-17 05:41:24 (GMT)
committerEvan Shelhamer <>2015-02-17 05:46:54 (GMT)
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# Caffe
-Caffe is a deep learning framework developed with cleanliness, readability, and speed in mind.<br />
-Consult the [project website]( for all documentation.
+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 the [project site]( for all the details like
-Please ask usage questions and how to model different tasks on the [caffe-users mailing list](!forum/caffe-users).
+- [DIY Deep Learning for Vision with Caffe](
+- [Tutorial Documentation](
+- [BVLC reference models]( and the [community model zoo](
+- [Installation instructions](
+and step-by-step examples.
+Please join the [caffe-users group](!forum/caffe-users) to ask questions and talk about methods and models.
+Framework development discussions and thorough bug reports are collected on [Issues](
+Happy brewing!
+## License and Citation
+Caffe is released under the [BSD 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}
+ }