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Deep Learning Black-Box and Pattern Recognition Analysis Using Guided Grad-CAM for Phytolith Identification

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ArchaeolGradCAM

Deep Learning Black-Box and Pattern Recognition Analysis Using Guided Grad-CAM for Phytolith Identification

VGG19 and TensorFlow 2 Guided Grad-CAM Implementation

Microscope Phytoliths

Figure1_MP

Deep Learning Classification

ArchaeolPhytoliths: https://github.com/iberganzo/ArchaeolPhytoliths

Figure1_DL

Grad-CAM

Figure1_GradCAM

Guided Backpropagation

Figure1_GuidedBackpropagation

Guided Grad-CAM

Figure1_GuidedGradCAM

Citation

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

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Deep Learning Black-Box and Pattern Recognition Analysis Using Guided Grad-CAM for Phytolith Identification

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