018 Interpretability of Neural Networks (Lecture 7)

其他 2021-03-08 13:55:39 阅读次数: 0

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

Outline

在这里插入图片描述

I.A. Interpreting and visualizing Neural Networks with sliency maps

在这里插入图片描述

I.B. Interpreting and visualizing Neural Networks with occusion sensitivity

在这里插入图片描述

III.C. Interpreting NNs using class activation maps

在这里插入图片描述

II.A. Visualizing NNs from the inside using gradient ascent(class model visualization)

在这里插入图片描述

II. B. Visualizing NNs from the inside dataset search

在这里插入图片描述

II.C. The decovolution and its applications

在这里插入图片描述

III.Deep Dream

在这里插入图片描述

Summary

在这里插入图片描述

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转载自blog.csdn.net/m0_46427273/article/details/108068936

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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

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