ThiNet: A Filter Level Pruning Method for Deep Neural Network Compression 閱讀筆記
今天閱讀了ThiNet: A Filter Level Pruning Method for Deep Neural Network Compression。 剪枝可以用一句話總結：得到各神經元的重要性，去除不重要的神經元並微調網絡。如下圖所示： ThiNet的框架分如下幾步： 濾波器選擇，利用layer i+1 的input channels來選擇剪枝layer i哪些部分。 剪枝，去除laye
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相關文章
- 1. 【ThiNet: A Filter Level Pruning Method for Deep Neural Network Compression】論文筆記
- 2. ThiNet: A Filter Level Pruning Method for Deep Neural Network Compression筆記
- 3. ThiNet: A Filter Level Pruning Method for Deep Neural Network Compression
- 4. Reading Note: ThiNet: A Filter Level Pruning Method for Deep Neural Network Compression
- 5. 論文筆記——ThiNet: A Filter Level Pruning Method for Deep Neural Network Compreesion
- 6. 【論文閱讀筆記】Deep Neural Network Compression with Single and Multiple Level Quantization
- 7. 【閱讀筆記】《ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation》
- 8. Compression Artifacts Reduction by a Deep Convolutional Network 閱讀筆記
- 9. Global Sparse Momentum SGD for Pruning Very Deep Neural Networks 論文閱讀筆記
- 10. 【論文閱讀筆記】---《A Survey of Model Compression and Acceleration for Deep Neural Networks》