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README.md
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@@ -305,8 +305,7 @@ A detailed **per-class classification report** is also produced:
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This provides a deeper understanding beyond accuracy alone.
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10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 106ms/step - accuracy: 0.9826 - loss: 0.3082
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Test Accuracy: 0.9900
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10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 93ms/step
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Classification Report:
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Fine-tuning only a subset of pretrained layers strikes the optimal balance between **generalization and specialization**.
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---
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This provides a deeper understanding beyond accuracy alone.
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```
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10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 106ms/step - accuracy: 0.9826 - loss: 0.3082 - Test Accuracy: 0.9900
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10/10 ━━━━━━━━━━━━━━━━━━━━ 1s 93ms/step
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Classification Report:
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Fine-tuning only a subset of pretrained layers strikes the optimal balance between **generalization and specialization**.
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