关于CNN可视化与《What have we learned from deep representations for action recognition》笔记
简短总结CNN可视化方法与《What have we learned from deep representations for action recognition》 CNN可视化方法总结 本节内容大部分来自于CS231n note,附上链接：cs231n 由于CNN经常被批评不知道学习到的特征不可解释。常用的方法有以下几种 Visualizing the activations and fir
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相关文章
- 1. What – if Anything – Have We Learned From C++?
- 2. 行为识别 - Deep Analysis of CNN-based Spatio-temporal Representations for Action Recognition
- 3. Deep Learning for Videos: A 2018 Guide to Action Recognition
- 4. Deep Residual Learning for Image Recognition 笔记
- 5. Deep Residual Learning for Image Recognition
- 6. Out-of-Distribution Detection for Generalized Zero-Shot Action Recognition
- 7. 读书笔记5：Deep Progressive Reinforcement Learning for Skeleton-based Action Recognition
- 8. 论文笔记-Temporal segment network:towards good practices for deep action recognition
- 9. Re-ID阅读笔记(一)：《Deeply-Learned Part-Aligned Representations for Person Re-Identification》
- 10. 【论文翻译】Deep Residual Learning for Image Recognition