Channel Pruning for Accelerating Very Deep Neural Networks论文笔记
论文阅读 https://arxiv.org/abs/1707.06168 总结 利用channel pruning实现网络inference过程中的加速，预训练模型上剪枝，包括两个步骤（1）LASSO regression based channel selection (2)least square reconstruction 方法 1. 单层剪枝，两步操作： （1）channel sele
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相关文章
- 1. 论文笔记——Channel Pruning for Accelerating Very Deep Neural Networks
- 2. Channel Pruning for Accelerating Very Deep Neural Networks 论文笔记
- 3. Channel Pruning for Accelerating Very Deep Neural Networks
- 4. 【模型压缩】Channel Pruning for Accelerating Very Deep Neural Networks算法笔记
- 5. 代码开源：Channel Pruning for Accelerating Very Deep Neural Networks
- 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. 论文笔记——Data-free Parameter Pruning for Deep Neural Networks
- 9. 《FPGM：Filter Pruning via Geometric Median for Deep Convolutional Neural Networks Acceleration》论文笔记
- 10. 论文笔记：Filter Pruning via Geometric Median for Deep Convolutional Neural Networks Acceleration