ThiNet: A Filter Level Pruning Method for Deep Neural Network Compression 阅读笔记
今天阅读了ThiNet: A Filter Level Pruning Method for Deep Neural Network Compression。 剪枝可以用一句话总结：得到各神经元的重要性，去除不重要的神经元并微调网络。如下图所示： ThiNet的框架分如下几步： 滤波器选择，利用layer i+1 的input channels来选择剪枝layer i哪些部分。 剪枝，去除laye
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相关文章
- 1. 【ThiNet: A Filter Level Pruning Method for Deep Neural Network Compression】论文笔记
- 2. ThiNet: A Filter Level Pruning Method for Deep Neural Network Compression笔记
- 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. 论文笔记——ThiNet: A Filter Level Pruning Method for Deep Neural Network Compreesion
- 6. 【论文阅读笔记】Deep Neural Network Compression with Single and Multiple Level Quantization
- 7. 【阅读笔记】《ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation》
- 8. Compression Artifacts Reduction by a Deep Convolutional Network 阅读笔记
- 9. Global Sparse Momentum SGD for Pruning Very Deep Neural Networks 论文阅读笔记
- 10. 【论文阅读笔记】---《A Survey of Model Compression and Acceleration for Deep Neural Networks》