“Today Facebook open sourced Caffe2. The deep learning framework follows in the steps of the original Caffe, a project started at the University of California, Berkeley. Caffe2 offers developers greater flexibility for building high-performance products that deploy efficiently. This isn’t the first time that Facebook has engaged with the Caffe community. Back in October, Facebook announced Caffe2Go, what effectively was a mobile CPU and GPU optimized version of Caffe2 (they even both have Caffe2 in their names if you parse it right). Caffe2Go received attention at that time because its release coincided with Style Transfer. Notably, the company also released extensions to the original Caffe. The majority of these changes make Caffe more attractive to developers building services for large audiences. For projects where resources are of no consequence, Facebook has historically turned to Torch — a library it finds optimal for research use cases.”