• this is a windows port of caffe including msvc build files for pycaffe
• additionally, this repository contains pull requests #1976, #2016 and #2086
• tested with python 2.7 amd64, cuda 7.0 and msvc12
• actually, the latest version hasn't been fully tested yet
• build files will automatically download 3rd party binary package from my dropbox
• this port is based on https://github.com/niuzhiheng/caffe
• putting missing functions for windows into a 3rd party package gives minimal changes in code and easier maintenance, see https://github.com/MalteOeljeklaus/libwincaffe_misc

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

• 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 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!

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}
}