BVLC/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. 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 Please join the…