yangcha/caffe-cpu-conda repository overview

⁠Caffe

Caffe is a deep learning framework made with expression, speed, and modularity in mind. It is developed by Berkeley AI Research (BAIR⁠)/The Berkeley Vision and Learning Center (BVLC) and community contributors.

Check out the project site⁠ for all the details like

• DIY Deep Learning for Vision with Caffe⁠
• Tutorial Documentation⁠
• BAIR reference models⁠ and the community model zoo⁠
• Installation instructions⁠

and step-by-step examples.

Please join the caffe-users group⁠ or gitter chat⁠ 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 BAIR/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}
}