論文筆記：《Network Dissection: Quantifying Interpretability of Deep Visual Representations》
CVPR 2017 的 MIT 論文《Network Dissection: Quantifying Interpretability of Deep Visual Representations》 其項目網頁：Network Dissection 【所實現的】 直接剖析其他任務中訓練好的 CNN 模型，解釋其神經元對應的語義概念 【方法概要】 （1）構建一個包括多層次圖片（從簡單顏色紋理
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相關文章
- 1. 神經網絡的可解釋性——Network Dissection: Quantifying Interpretability of Deep Visual Representations
- 2. The Building Blocks of Interpretability
- 3. (論文筆記) Deep contextualized word representations
- 4. 論文筆記：Deep Residual Network
- 5. 論文筆記：DeepWalk: Online Learning of Social Representations
- 6. 【論文筆記】Joint Unsupervised Learning of Deep Representations and Image Clusters
- 7. 網絡壓縮論文集(network compression)
- 8. ECCV2016【論文筆記】Unsupervised Learning of Visual Representations by Solving Jigsaw Puzzles
- 9. 論文筆記----DeepWalk: Online Learning of Social Representations
- 10. 論文筆記2：Deep Attention Recurrent Q-Network