matlab-deep-learning / Explore-Deep-Network-Explainability-Using-an-App
This repository provides an app for exploring the predictions of an image classification network using several deep learning visualization techniques. Using the app, you can: explore network predictions with occlusion sensitivity, Grad-CAM, and gradient attribution methods, investigate misclassifications using confusion and t-SNE plots, visualize layer activations, and many more techniques to help you understand and explain your deep network’s predictions.
RepositoryStats indexes 595,856 repositories, of these matlab-deep-learning/Explore-Deep-Network-Explainability-Using-an-App is ranked #540,805 (9th percentile) for total stargazers, and #377,401 for total watchers. Github reports the primary language for this repository as MATLAB, for repositories using this language it is ranked #1,333/1,468.
matlab-deep-learning/Explore-Deep-Network-Explainability-Using-an-App has Github issues enabled, there is 1 open issue and 0 closed issues.
There have been 1 release, the latest one was published on 2021-09-07 (3 years ago) with the name UNPIC v1.0.
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updated: 2024-12-16 @ 12:00pm, id: 364973279 / R_kgDOFcEM3w