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.
Custom distributions
Intel Caffe (Optimized for CPU and support for multi-node), in particular Intel® Xeon processors.
OpenCL Caffe e.g. for AMD or Intel devices.
Windows Caffe
Community
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:
GitHub:
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