| # Visualzing CNN decisions |
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| This folder contains an MXNet Gluon implementation of [Grad-CAM](https://arxiv.org/abs/1610.02391) that helps visualize CNN decisions. |
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| A tutorial on how to use this from Jupyter notebook is available [here](https://mxnet.incubator.apache.org/tutorials/vision/cnn_visualization.html). |
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| 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 |
| ``` |
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