Deep Learning Black-Box and Pattern Recognition Analysis Using Guided Grad-CAM for Phytolith Identification
VGG19 and TensorFlow 2 Guided Grad-CAM Implementation
ArchaeolPhytoliths: https://github.com/iberganzo/ArchaeolPhytoliths
To cite this repository:
Berganzo-Besga, I. ArchaeolGradCAM: Deep Learning Black-Box and Pattern Recognition Analysis Using Guided Grad-CAM for Phytolith Identification. GitHub repository 2024. Available online: https://github.com/iberganzo/ArchaeolGradCAM
This repository was created thanks to:
Berganzo-Besga I, Orengo HA, Lumbreras F, Aliende P, Ramsey MN. 2022. Automated detection and classification of multi-cell Phytoliths using Deep Learning-Based Algorithms. Journal of Archaeological Science 148: 105654. https://doi.org/10.1016/j.jas.2022.105654
Selvaraju RR, Cogswell M, Das A, Vedantam R, Parikh D, Batra D. 2019. Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization. arXiv arXiv:1610.02391. https://doi.org/10.48550/arXiv.1610.02391