This repository explores the use of eXplainable AI (XAI) to interpret deep learning models in underwater SONAR image classification. We utilize transfer learning with CNN architectures like VGG16 and ResNet50, and apply LIME and SP-LIME for transparent model explanations.
machine-learning
deep-neural-networks
computer-vision
deep-learning
sonar
transfer-learning
lime
cnn-classification
explainable-ai
sonar-image-classifier
sp-lime
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Updated
Sep 28, 2024 - Python