GitHub / 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.
JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/matlab-deep-learning%2FExplore-Deep-Network-Explainability-Using-an-App
PURL: pkg:github/matlab-deep-learning/Explore-Deep-Network-Explainability-Using-an-App
Stars: 36
Forks: 7
Open issues: 2
License: other
Language: MATLAB
Size: 26.3 MB
Dependencies parsed at: Pending
Created at: about 4 years ago
Updated at: 6 months ago
Pushed at: almost 4 years ago
Last synced at: about 1 month ago
Topics: deep-learning, explainable-ai, gradcam, interpretable-deep-learning, matlab, matlab-deep-learning, pretrained-models, transfer-learning