ltj2013 / caffe

Caffe for Structurally Sparse Deep Neural Networks

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ABOUT

Learning Structured Sparsity in Deep Neural Networks

See the source code of our NIPS2016 paper in branch [scnn] (https://github.com/wenwei202/caffe/tree/scnn)

Caffe version

Master branch is from caffe @ commit eb4ba30

License and Citation

Caffe is released under the BSD 2-Clause 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}
}

About

Caffe for Structurally Sparse Deep Neural Networks

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Language:C++ 79.7%Language:Python 8.3%Language:Cuda 5.7%Language:CMake 2.8%Language:Protocol Buffer 1.6%Language:MATLAB 0.9%Language:Makefile 0.7%Language:Shell 0.3%Language:M 0.0%