Unverified50% confidenceOpinionExact time
Freezing the shallow layers and fine-tuning the deep layers (keeping the earlier feature extraction layers and releasing the last few inverted residual blocks and the classification head) is the compromise that appears most frequently in MobileNetV2 fine-tuning discussions.
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50%
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Long-term
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10/21/2026
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