This project aims to explore the classification efficacy of deep features through transfer learning. We utilize MobileNetV2 as a fixed feature extractor, employing a “one-click” automated script to extract full-depth features from layers 1 to 19 on a three-class bird/cat/dog dataset.
☆24Feb 6, 2026Updated 9 months ago
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