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

Stable release	1.0^[1] / 18 April 2017; 7 years ago (2017-04-18)

Repository	github.com/BVLC/caffe
Written in	C++
Operating system	Linux, macOS, Windows^[2]
Type	Library for deep learning
License	BSD^[3]
Website	caffe.berkeleyvision.org

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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.^[4] It is written in C++, with a Python interface.^[5]

^ "BVLC/caffe". GitHub. 31 March 2020.
^ "Microsoft/caffe". GitHub. 30 March 2020.
^ "caffe/LICENSE at master". GitHub. 31 March 2020.
^ "BVLC/caffe". GitHub. 31 March 2020.
^ "Comparing Frameworks: Deeplearning4j, Torch, Theano, TensorFlow, Caffe, Paddle, MxNet, Keras & CNTK". Archived from the original on 2017-03-29. Retrieved 2017-03-29.

Caffe (software)