gsurma / cnn_explainer

Making CNNs interpretable.

https://gsurma.github.io

cnn cnn-classification python pytorch convolutional-neural-networks convolutional-neural-network interpretability explainable-ai occlusion occlusions imagenet imagenet-classifier machine-learning artificial-intelligence gradcam gradcam-visualization gradcam-heatmap heatmaps cnn-explainer

CNN Explainer

CNN Explainer is PyTorch based project that aims to make CNN's predictions explainable.

Check the corresponding articles:
CNN Explainer - Interpreting Convolutional Neural Networks (1/N) Generating Area Importance Heatmaps with Occlusions
CNN Explainer - Interpreting Convolutional Neural Networks (2/N) Visualizing Gradient Weighted Class Activations with GradCAM
CNN Explainer - Interpreting Convolutional Neural Networks (3/N) Visualizing Boosted Convolutional Features

Boosted Features Visualizations

GradCAM Heatmaps

Submarine

Aircraft Carrier

Area Importance Heatmaps with Occlusions

Author

Greg (Grzegorz) Surma

About

Making CNNs interpretable.

https://gsurma.github.io

cnn cnn-classification python pytorch convolutional-neural-networks convolutional-neural-network interpretability explainable-ai occlusion occlusions imagenet imagenet-classifier machine-learning artificial-intelligence gradcam gradcam-visualization gradcam-heatmap heatmaps cnn-explainer

MIT License

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