Caffe is a deep learning framework used for large-scale product cases. It has expression, it is fast and modular.
Yangqing Jia created Caffe and Berkeley AI Research (BAIR) together with community contributors developed Caffe.
Caffe powers ongoing research projects, large-scale industrial applications and startup prototypes in vision, speech, and multimedia.
Caffe: Convolutional Architecture for Fast Feature Embedding
Yangqing Jia, Evan Shelhamer, Jeff Donahue, Sergey Karayev,Jonathan Long, Ross Girshick, Sergio Guadarrama and Trevor Darrell