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assets\catdog.jpg (64216, 2020-08-29)
assets\imagenet_idx_to_label.json (31565, 2020-08-29)
requirements.txt (62, 2020-08-29)
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results\combined.jpg (5531, 2020-08-29)
results\heatmap.jpg (4078, 2020-08-29)
step_2_pretrained.py (1673, 2020-08-29)
step_3_cam.py (2277, 2020-08-29)
step_4_nbdt.py (1563, 2020-08-29)

# How to Visualize and Interpret a Neural Network Understanding a neural network with saliency maps and decision trees. This repository includes all source code for the tutorial on DigitalOcean with the same title, including: - saliency map code, for generating visualizations called Class Activation Maps - code for running neural network as neural-backed decision tree - utility to run an ImageNet-pretrained ResNet18 neural network on any image of your choosing created by [Alvin Wan](https://alvinwan.com), August 2020 > See [utils](https://github.com/alvinwan/tricking-neural-networks/tree/master/utils) from [Tricking Neural Networks](https://github.com/alvinwan/tricking-neural-networks) for generating mapping from WordNet IDs to class names for ImageNet.

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