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 by community contributors.
Development tools and environments
caffe2015-cpu caffe2015-gnu caffe2015-gpu-cudnn
Version 2016 (September)
caffe2016-cpu caffe2016-gpu caffe2016-gpu-cudnn
Version 2017 (March)
Caffe is released under the BSD 2-Clause license.
MetaCentrum provides several version of caffe framework:
CPU version: module add caffe2016-cpu GPU version: module add caffe2016-gpu GPU + cuDNN version: module add caffe-mar2017-cudnn
Please note that the GPU version is faster than the CPU version.
Moreover, testing of our MetaCentrum builds has shown that the GPU version compiled with cuDNN library is several times faster than the GPU version without it.
Our versions of Caffe include pycaffe interface. After loading Caffe module type
python import caffe
and you can immediately start.