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Hi,
Can we expect to see an implementation of SmoothGrad.
https://arxiv.org/abs/1706.03825
Thanks!
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## 一言でいうと
画像のどの部分が分類に貢献したかを確認するための手法として画像に対する勾配を可視化する手法があるが、そのまま使うととてもノイズが多い。そこでがガウシンアンノイズを加えたn個の入力に対する勾配を平均することでスムージングを行ったという話。
![image](https://user-images.githubusercontent.com/544269/2720837…
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Most of the functions such as GradCAM ,smoothGrad and others require us to provide a class index as well. Incase we use a CNN model with a linear activation layer with 1 node, so as to implement a reg…
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Hi,
First of all, thanks a lot for this great visualization toolbox. I am using Efficientnet to categorize images into a binary score (i. e. only one output neuron). Can you please provide an end-t…
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Create class activation maps to explain the black-box nature of convolutional neural networks. Remember, that this is primarily aimed at customed trained models rather than pre-trained models so that …
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[Saliency maps (or sensitivity masks)](https://pair-code.github.io/saliency/) visualize which inputs contribute towards a model decision. They are generated from gradient-based methods such as [integr…
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I'm using tf-explain to generate Vanilla Gradients, and was getting blank heatmaps (0 for every pixel).
Thinking this was strange, I generated the gradients manually and got non-zero values.
So I st…
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_The following peer review was solicited as part of the Distill review process._
_**The reviewer chose to waive anonymity.** Distill offers reviewers a choice between anonymous review and offering …
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Hi! Thanks for this XAI visualization package!
I am trying to use the saliency method applied to Autoencoders and reconstruction errors.
Also, I do not have images, but a feature array for each o…