论文阅读：NetworkTrimming: A Data-Driven Neuron Pruning Approach towards Efficient Deep Architectures
第一次接触这个方向，很多术语都不甚熟悉，希望大家不吝赐教~文章链接 Motivation 作者在对现在主流的CNN网络进行分析后，发现CNN中的很多神经元的“表现力”很弱(low activations)，这些神经元可以被剪枝，同时网络的表现能力不会被破坏，作者提出了一个可迭代的优化方法来对这些弱神经元进行剪枝，提出了一个新的参数应用于剪枝方法： Average Percentage of Zer
相关文章
- 1. 论文阅读-《Towards a Robust Deep Neural Network in Texts: A Survey》
- 2. 论文阅读 | Towards a Robust Deep Neural Network in Text Domain A Survey
- 3. Towards a Diffraction-based Sensing Approach on Human Activity Recognition论文阅读笔记
- 4. Deep learning approach for facial age classification: a survey of the state‑of‑the‑art 论文阅读
- 5. 论文阅读14：Reinforcement learning approach towards effective content recommendation in MOOC environments
- 6. RL论文阅读【三】Dueling Network Architectures for Deep Reinforcement Learning
- 7. From Depth Data to Head Pose Estimation: a Siamese approach----论文阅读笔记
- 8. Global Sparse Momentum SGD for Pruning Very Deep Neural Networks 论文阅读笔记
- 9. 文献阅读 - A Discriminative Feature Learning Approach for Deep Face Recognition
- 10. 论文阅读理解 - CenterLoss: A Discriminative Feature Learning Approach
- 更多相关文章...
- • RSS 阅读器 - RSS 教程
- • PHP 实例 - AJAX RSS 阅读器 - PHP教程
- • JDK13 GA发布：5大特性解读
- • Scala 中文乱码解决
相关标签/搜索
每日一句
-
每一个你不满意的现在，都有一个你没有努力的曾经。
最新文章
欢迎关注本站公众号,获取更多信息
相关文章
- 1. 论文阅读-《Towards a Robust Deep Neural Network in Texts: A Survey》
- 2. 论文阅读 | Towards a Robust Deep Neural Network in Text Domain A Survey
- 3. Towards a Diffraction-based Sensing Approach on Human Activity Recognition论文阅读笔记
- 4. Deep learning approach for facial age classification: a survey of the state‑of‑the‑art 论文阅读
- 5. 论文阅读14：Reinforcement learning approach towards effective content recommendation in MOOC environments
- 6. RL论文阅读【三】Dueling Network Architectures for Deep Reinforcement Learning
- 7. From Depth Data to Head Pose Estimation: a Siamese approach----论文阅读笔记
- 8. Global Sparse Momentum SGD for Pruning Very Deep Neural Networks 论文阅读笔记
- 9. 文献阅读 - A Discriminative Feature Learning Approach for Deep Face Recognition
- 10. 论文阅读理解 - CenterLoss: A Discriminative Feature Learning Approach