What does base_model.trainable = False do in the context of fine-tuning?

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What does base_model.trainable = False do in the context of fine-tuning?

 It randomly reinitializes the base model weights

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It freezes the base model layers to retain pre-learned features

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It allows all layers to be retrained

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It deletes all pretrained layers

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