Explainable AI: interpreting the classification using LIME
This demo shows how to interpret the classification by CNN using LIME (Local Interpretable Model-agnostic Explanations) [1]. LIMEによる特徴量の可視化
https://github.com/KentaItakura/Explainable-AI-interpreting-the-classification-performed-by-deep-...
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Cite As
Kenta (2026). Explainable AI: interpreting the classification using LIME (https://github.com/KentaItakura/Explainable-AI-interpreting-the-classification-performed-by-deep-learning-with-LIME-using-MATLAB/releases/tag/v2.1), GitHub. Retrieved .
Acknowledgements
Inspired: Quantitative Analysis of Explainable AI (XAI) Visualizations, Explainable Bird Species Image Classification
General Information
- Version 2.1.0 (8.53 MB)
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View License on GitHub
MATLAB Release Compatibility
- Compatible with any release
Platform Compatibility
- Windows
- macOS
- Linux
| Version | Published | Release Notes | Action |
|---|---|---|---|
| 2.1.0 | See release notes for this release on GitHub: https://github.com/KentaItakura/Explainable-AI-interpreting-the-classification-performed-by-deep-learning-with-LIME-using-MATLAB/releases/tag/v2.1 |
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| 2.0.3 | Similarity function: changed |
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| 2.0.2 | "Similarity" corrected |
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| 1.0.2 | key words added |
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| 1.0.1 | description added |
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| 1.0.0 |
