MODEL INTERPRETABILITY USING CAPTUM
Captum可幫助大家瞭解數據特徵如何影響模型預測或神經元激活，從而闡明模型的運行方式。 使用Captum，可以以統一方式應用廣泛的最新功能歸因算法，例如Guided GradCam 和 ntegrated Gradients 接下來將學習如何使用Captum來：*將圖像分類器的預測歸因於其相應的圖像特徵。*可視化attribution 結果 Before you begin 確保Captum已安
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相關文章
- 1. 018 Interpretability of Neural Networks (Lecture 7)
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- 10. 論文筆記：Tag-Aware Personalized Recommendation Using a Hybrid Deep Model