diff --git a/CNN/ComputerVision/20190513_Visualizing_Deep_Networks_by_Optimizing_with_Integrated_Gradients/IGOS1.PNG b/CNN/ComputerVision/20190513_Visualizing_Deep_Networks_by_Optimizing_with_Integrated_Gradients/IGOS1.PNG new file mode 100644 index 0000000..4cffc11 Binary files /dev/null and b/CNN/ComputerVision/20190513_Visualizing_Deep_Networks_by_Optimizing_with_Integrated_Gradients/IGOS1.PNG differ diff --git a/CNN/ComputerVision/20190513_Visualizing_Deep_Networks_by_Optimizing_with_Integrated_Gradients/readme.md b/CNN/ComputerVision/20190513_Visualizing_Deep_Networks_by_Optimizing_with_Integrated_Gradients/readme.md new file mode 100644 index 0000000..b35fe1a --- /dev/null +++ b/CNN/ComputerVision/20190513_Visualizing_Deep_Networks_by_Optimizing_with_Integrated_Gradients/readme.md @@ -0,0 +1,23 @@ + +# Overview + +Original Paper: [Visualizing Deep Networks by Optimizing with Integrated Gradients](https://arxiv.org/abs/1905.00954) + +# Visualizing Deep Networks by Optimizing with Integrated Gradients + +- Heatmaps are not all equals, the way they correlate to the actual processing is important + +- Good correlation is fundamental to understand what the strong features, automatically learned by the CNN, are so to be able to debug the NN + +![IGOS1](IGOS1.PNG) + +Work in progress + + + + + + + + +