018 Interpretability of Neural Networks (Lecture 7)
目录
- Outline
- I.A. Interpreting and visualizing Neural Networks with sliency maps
- I.B. Interpreting and visualizing Neural Networks with occusion sensitivity
- III.C. Interpreting NNs using class activation maps
- II.A. Visualizing NNs from the inside using gradient ascent(class model visualization)
- II. B. Visualizing NNs from the inside dataset search
- II.C. The decovolution and its applications
- III.Deep Dream
- Summary