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. Yangqing Jia created the project during his PhD at
UC Berkeley. Caffe is released under the BSD 2-Clause license.