Channel Pruning for Accelerating Very Deep Neural Networks論文筆記
論文閱讀 https://arxiv.org/abs/1707.06168 總結 利用channel pruning實現網絡inference過程中的加速，預訓練模型上剪枝，包括兩個步驟（1）LASSO regression based channel selection (2)least square reconstruction 方法 1. 單層剪枝，兩步操作： （1）channel sele
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相關文章
- 1. 論文筆記——Channel Pruning for Accelerating Very Deep Neural Networks
- 2. Channel Pruning for Accelerating Very Deep Neural Networks 論文筆記
- 3. Channel Pruning for Accelerating Very Deep Neural Networks
- 4. 【模型壓縮】Channel Pruning for Accelerating Very Deep Neural Networks算法筆記
- 5. 代碼開源：Channel Pruning for Accelerating Very Deep Neural Networks
- 6. 《Soft Filter Pruning for Accelerating Deep Convolutional Neural Networks》論文筆記
- 7. Global Sparse Momentum SGD for Pruning Very Deep Neural Networks 論文閱讀筆記
- 8. 論文筆記——Data-free Parameter Pruning for Deep Neural Networks
- 9. 《FPGM：Filter Pruning via Geometric Median for Deep Convolutional Neural Networks Acceleration》論文筆記
- 10. 論文筆記：Filter Pruning via Geometric Median for Deep Convolutional Neural Networks Acceleration