關於CNN可視化與《What have we learned from deep representations for action recognition》筆記
簡短總結CNN可視化方法與《What have we learned from deep representations for action recognition》 CNN可視化方法總結 本節內容大部分來自於CS231n note,附上鍊接：cs231n 由於CNN經常被批評不知道學習到的特徵不可解釋。常用的方法有以下幾種 Visualizing the activations and fir
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相關文章
- 1. What – if Anything – Have We Learned From C++?
- 2. 行爲識別 - 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 筆記
- 5. Deep Residual Learning for Image Recognition
- 6. Out-of-Distribution Detection for Generalized Zero-Shot Action Recognition
- 7. 讀書筆記5：Deep Progressive Reinforcement Learning for Skeleton-based Action Recognition
- 8. 論文筆記-Temporal segment network:towards good practices for deep action recognition
- 9. Re-ID閱讀筆記(一)：《Deeply-Learned Part-Aligned Representations for Person Re-Identification》
- 10. 【論文翻譯】Deep Residual Learning for Image Recognition