Introduction
Caffe is a deep learning framework made with expression, speed, and modularity in mind. It is developed by Berkeley AI Research (BAIR) and by community contributors. Yangqing Jia created the project during his PhD at UC Berkeley. Caffe is released under the BSD 2-Clause license.
Web Page
Versions
2017.7
Flavours
default
Architecture
ppc64le
Group
module load site-local-ppc64le