README.md

   1 # Caffe
   2
   3 [![Build Status](https://travis-ci.org/BVLC/caffe.svg?branch=master)](https://travis-ci.org/BVLC/caffe)
   4 [![License](https://img.shields.io/badge/license-BSD-blue.svg)](LICENSE)
   5
   6 Caffe is a deep learning framework made with expression, speed, and modularity in mind.
   7 It is developed by the Berkeley Vision and Learning Center ([BVLC](http://bvlc.eecs.berkeley.edu)) and community contributors.
   8
   9 Check out the [project site](http://caffe.berkeleyvision.org) for all the details like
  10
  11 - [DIY Deep Learning for Vision with Caffe](https://docs.google.com/presentation/d/1UeKXVgRvvxg9OUdh_UiC5G71UMscNPlvArsWER41PsU/edit#slide=id.p)
  12 - [Tutorial Documentation](http://caffe.berkeleyvision.org/tutorial/)
  13 - [BVLC reference models](http://caffe.berkeleyvision.org/model_zoo.html) and the [community model zoo](https://github.com/BVLC/caffe/wiki/Model-Zoo)
  14 - [Installation instructions](http://caffe.berkeleyvision.org/installation.html)
  15
  16 and step-by-step examples.
  17
  18 [![Join the chat at https://gitter.im/BVLC/caffe](https://badges.gitter.im/Join%20Chat.svg)](https://gitter.im/BVLC/caffe?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge&utm_content=badge)
  19
  20 Please join the [caffe-users group](https://groups.google.com/forum/#!forum/caffe-users) or [gitter chat](https://gitter.im/BVLC/caffe) to ask questions and talk about methods and models.
  21 Framework development discussions and thorough bug reports are collected on [Issues](https://github.com/BVLC/caffe/issues).
  22
  23 Happy brewing!
  24
  25 ## License and Citation
  26
  27 Caffe is released under the [BSD 2-Clause license](https://github.com/BVLC/caffe/blob/master/LICENSE).
  28 The BVLC reference models are released for unrestricted use.
  29
  30 Please cite Caffe in your publications if it helps your research:
  31
  32     @article{jia2014caffe,
  33       Author = {Jia, Yangqing and Shelhamer, Evan and Donahue, Jeff and Karayev, Sergey and Long, Jonathan and Girshick, Ross and Guadarrama, Sergio and Darrell, Trevor},
  34       Journal = {arXiv preprint arXiv:1408.5093},
  35       Title = {Caffe: Convolutional Architecture for Fast Feature Embedding},
  36       Year = {2014}
  37     }