代码开源：Channel Pruning for Accelerating Very Deep Neural Networks

时间 2020-12-30

标签 cnn 开源繁體版

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代码开源：Channel Pruning for Accelerating Very Deep Neural Networks [PDF] [Code] 这是我们今年 ICCV 2017 的工作。基于CNN每一层都是稀疏地假设，我们考虑是否能找到neuron之间的关系，仅留下最具有代表性地neuron？分为两步解决问题：找出每一层具有代表性地neuron，我们利用lasso regressi

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1. Channel Pruning for Accelerating Very Deep Neural Networks
2. Channel Pruning for Accelerating Very Deep Neural Networks论文笔记
3. 【模型压缩】Channel Pruning for Accelerating Very Deep Neural Networks算法笔记
4. 论文笔记——Channel Pruning for Accelerating Very Deep Neural Networks
5. Channel Pruning for Accelerating Very Deep Neural Networks 论文笔记
6. 《Soft Filter Pruning for Accelerating Deep Convolutional Neural Networks》论文笔记
7. Global Sparse Momentum SGD for Pruning Very Deep Neural Networks 论文阅读笔记
8. 【Comprssion】《Deep Compression：Compressing Deep Neural Networks with Pruning，Trained QuantizationXXX》
9. Very Deep Convolutional Networks for Text Classification
10. 《Image Super-Resolution Using Very Deep Residual Channel Attention Networks》
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1. Channel Pruning for Accelerating Very Deep Neural Networks
2. Channel Pruning for Accelerating Very Deep Neural Networks论文笔记
3. 【模型压缩】Channel Pruning for Accelerating Very Deep Neural Networks算法笔记
4. 论文笔记——Channel Pruning for Accelerating Very Deep Neural Networks
5. Channel Pruning for Accelerating Very Deep Neural Networks 论文笔记
6. 《Soft Filter Pruning for Accelerating Deep Convolutional Neural Networks》论文笔记
7. Global Sparse Momentum SGD for Pruning Very Deep Neural Networks 论文阅读笔记
8. 【Comprssion】《Deep Compression：Compressing Deep Neural Networks with Pruning，Trained QuantizationXXX》
9. Very Deep Convolutional Networks for Text Classification
10. 《Image Super-Resolution Using Very Deep Residual Channel Attention Networks》

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