# Caffe | A Fast Open Framework For Deep Learning

**URL:** <https://onehack.st/t/caffe-a-fast-open-framework-for-deep-learning/294573>\
**Category:** Tools & Scripts\
**Tags:** tools, ai\
**Created:** [October 27, 2024, 7:46pm UTC](https://onehack.st/t/caffe-a-fast-open-framework-for-deep-learning/294573 "2024-10-27T19:46:03Z")\
**Posts on this page:** 1\
**Page:** 1

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**Post date:** [October 27, 2024, 7:46pm UTC](https://onehack.st/t/caffe-a-fast-open-framework-for-deep-learning/294573/1 "2024-10-27T19:46:03Z")

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# Caffe

[![Build Status](https://camo.githubusercontent.com/814524220173e21a3f1dcd6bd0ecbedb4bd5afada0031da390ef5a98b6a7ff11/68747470733a2f2f7472617669732d63692e6f72672f42564c432f63616666652e7376673f6272616e63683d6d6173746572)](https://travis-ci.org/BVLC/caffe) [![License](https://camo.githubusercontent.com/3f9f35c866835373f2429f9db357a9b10435ebff479df3e62b494edb3a2fe933/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f6c6963656e73652d4253442d626c75652e737667)](https://github.com/BVLC/caffe/blob/master/LICENSE)

Caffe is a deep learning framework made with expression, speed, and modularity in mind. It is developed by Berkeley AI Research ([BAIR](http://bair.berkeley.edu/))/The Berkeley Vision and Learning Center (BVLC) and community contributors.

Check out the [project site](http://caffe.berkeleyvision.org/) for all the details like

- [DIY Deep Learning for Vision with Caffe](https://docs.google.com/presentation/d/1UeKXVgRvvxg9OUdh_UiC5G71UMscNPlvArsWER41PsU/edit#slide=id.p)
- [Tutorial Documentation](http://caffe.berkeleyvision.org/tutorial/)
- [BAIR reference models](http://caffe.berkeleyvision.org/model_zoo.html) and the [community model zoo](https://github.com/BVLC/caffe/wiki/Model-Zoo)
- [Installation instructions](http://caffe.berkeleyvision.org/installation.html)

and step-by-step examples.

## Custom distributions

- [Intel Caffe](https://github.com/BVLC/caffe/tree/intel) (Optimized for CPU and support for multi-node), in particular Intel® Xeon processors.
- [OpenCL Caffe](https://github.com/BVLC/caffe/tree/opencl) e.g. for AMD or Intel devices.
- [Windows Caffe](https://github.com/BVLC/caffe/tree/windows)

## Community

[![Join the chat at https://gitter.im/BVLC/caffe](https://camo.githubusercontent.com/ef3705254e766b5edea93f49291c6d9239f29b942cfdb84f3296d0e37898b067/68747470733a2f2f6261646765732e6769747465722e696d2f4a6f696e253230436861742e737667)](https://gitter.im/BVLC/caffe?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge&utm_content=badge)

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. Framework development discussions and thorough bug reports are collected on [Issues](https://github.com/BVLC/caffe/issues).

Happy brewing!

## License and Citation

Caffe is released under the [BSD 2-Clause license](https://github.com/BVLC/caffe/blob/master/LICENSE). The BAIR/BVLC reference models are released for unrestricted use.

Please cite Caffe in your publications if it helps your research:

```auto
@article{jia2014caffe,
  Author = {Jia, Yangqing and Shelhamer, Evan and Donahue, Jeff and Karayev, Sergey and Long, Jonathan and Girshick, Ross and Guadarrama, Sergio and Darrell, Trevor},
  Journal = {arXiv preprint arXiv:1408.5093},
  Title = {Caffe: Convolutional Architecture for Fast Feature Embedding},
  Year = {2014}
}

```

## GitHub:-

[https://github.com/BVLC/caffe](https://github.com/BVLC/caffe)
