Caffe (software)

Caffe (Convolutional Architecture for Fast Feature Embedding) is a deep learning framework, originally developed at University of California, Berkeley. It is open source, under a BSD license. It is written in C++, with a Python interface.

Caffe
Original author(s)	Yangqing Jia
Developer(s)	Berkeley Vision and Learning Center

Stable release	1.0 / 18 April 2017 (2017-04-18)

Repository	github.com/BVLC/caffe
Written in	C++
Operating system	Linux, macOS, Windows
Type	Library for deep learning
License	BSD
Website	caffe.berkeleyvision.org

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