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 most likely to appear on Data Engineer job descriptions where we found it mentioned 1.7 percent of the time.