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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}
}

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Caffe for Structurally Sparse Deep Neural Networks

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  • C++ 79.7%
  • Python 8.3%
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