論文筆記：Filter Pruning via Geometric Median for Deep Convolutional Neural Networks Acceleration
Filter Pruning via Geometric Median for Deep Convolutional Neural Networks Acceleration 論文地址：https://arxiv.org/abs/1811.00250?context=cs 卷積神經網絡通常通過更深和更寬的結構實現了更好的性能，但是當神經網絡需要部署到移動設備時，神經網絡需要的資源遠遠超過了移動設備
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相關文章
- 1. 《FPGM：Filter Pruning via Geometric Median for Deep Convolutional Neural Networks Acceleration》論文筆記
- 2. 《Soft Filter Pruning for Accelerating Deep Convolutional Neural Networks》論文筆記
- 3. Global Sparse Momentum SGD for Pruning Very Deep Neural Networks 論文閱讀筆記
- 4. Channel Pruning for Accelerating Very Deep Neural Networks
- 5. 論文筆記|PID Controller-Based Stochastic Optimization Acceleration for Deep Neural Networks（一）
- 6. 【ThiNet: A Filter Level Pruning Method for Deep Neural Network Compression】論文筆記
- 7. 論文筆記——ThiNet: A Filter Level Pruning Method for Deep Neural Network Compreesion
- 8. 論文筆記——Data-free Parameter Pruning for Deep Neural Networks
- 9. Channel Pruning for Accelerating Very Deep Neural Networks論文筆記
- 10. 論文筆記——Channel Pruning for Accelerating Very Deep Neural Networks