This folder contains an MXNet Gluon implementation of Grad-CAM that helps visualize CNN decisions.
A tutorial on how to use this from Jupyter notebook is available here.
You can also do the visualization from terminal:
$ python gradcam_demo.py hummingbird.jpg Predicted category : hummingbird (94) Original Image : hummingbird_orig.jpg Grad-CAM : hummingbird_gradcam.jpg Guided Grad-CAM : hummingbird_guided_gradcam.jpg Saliency Map : hummingbird_saliency.jpg
