Caffe was designed and developed at Berkeley Artificial Intelligence Research (BAIR) Lab. It was designed with expression, speed, and modularity in mind. It has an expressive architecture as it allows for a very configurable way to define models and optimization parameters without necessitating any additional code. This configuration also allows an easy switch from CPU to GPU mode and vice-versa with but a single flag change.
Caffe also boasts good performance benchmark numbers when it comes to speed. For instance, on a single NVIDIA K40 GPU, Caffe can process over 60 million images per day. Caffe also has a strong community, ranging from academic researchers as well as industrial research labs using Caffe across a heterogeneous application ...
