caffe-face-centerloss
所属分类：人工智能/神经网络/深度学习
开发工具：C++
文件大小：0KB
下载次数：0
上传日期：2017-05-02 13:09:29
上 传 者：
sh-1993
说明： 咖啡面中心损失，，
(caffe-face-centerloss,,)
文件列表:
.Doxyfile (101863, 2016-10-05)
.travis.yml (1938, 2016-10-05)
CMakeLists.txt (3012, 2016-10-05)
CONTRIBUTING.md (1917, 2016-10-05)
CONTRIBUTORS.md (620, 2016-10-05)
INSTALL.md (210, 2016-10-05)
LICENSE (2095, 2016-10-05)
Makefile (23840, 2016-10-05)
Makefile.config.example (4283, 2016-10-05)
caffe.cloc (1180, 2016-10-05)
cmake/ (0, 2016-10-05)
cmake/ConfigGen.cmake (4373, 2016-10-05)
cmake/Cuda.cmake (11312, 2016-10-05)
cmake/Dependencies.cmake (5755, 2016-10-05)
cmake/External/ (0, 2016-10-05)
cmake/External/gflags.cmake (1939, 2016-10-05)
cmake/External/glog.cmake (1719, 2016-10-05)
cmake/Misc.cmake (1764, 2016-10-05)
cmake/Modules/ (0, 2016-10-05)
cmake/Modules/FindAtlas.cmake (1684, 2016-10-05)
cmake/Modules/FindGFlags.cmake (1545, 2016-10-05)
cmake/Modules/FindGlog.cmake (1451, 2016-10-05)
cmake/Modules/FindLAPACK.cmake (6723, 2016-10-05)
cmake/Modules/FindLMDB.cmake (1119, 2016-10-05)
cmake/Modules/FindLevelDB.cmake (1728, 2016-10-05)
cmake/Modules/FindMKL.cmake (3360, 2016-10-05)
cmake/Modules/FindMatlabMex.cmake (1749, 2016-10-05)
cmake/Modules/FindNumPy.cmake (2333, 2016-10-05)
cmake/Modules/FindOpenBLAS.cmake (1593, 2016-10-05)
cmake/Modules/FindSnappy.cmake (1071, 2016-10-05)
cmake/Modules/FindvecLib.cmake (1330, 2016-10-05)
cmake/ProtoBuf.cmake (3726, 2016-10-05)
cmake/Summary.cmake (7597, 2016-10-05)
cmake/Targets.cmake (7191, 2016-10-05)
cmake/Templates/ (0, 2016-10-05)
cmake/Templates/CaffeConfig.cmake.in (1798, 2016-10-05)
cmake/Templates/CaffeConfigVersion.cmake.in (377, 2016-10-05)
cmake/Templates/caffe_config.h.in (804, 2016-10-05)
... ...
# Caffe
[](https://travis-ci.org/BVLC/caffe)
[](LICENSE)
Caffe is a deep learning framework made with expression, speed, and modularity in mind.
It is developed by the Berkeley Vision and Learning Center ([BVLC](http://bvlc.eecs.berkeley.edu)) 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/)
- [BVLC 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.
[](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 BVLC reference models are released for unrestricted use.
Please cite Caffe in your publications if it helps your research:
@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}
}
近期下载者：
相关文件：
收藏者：