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Ensemble Transfer Learning

Ensemble Transfer Learning combines multiple models that were each pre-trained on a large source domain and then fine-tuned on a target task. By aggregating the predictions of several independently fine-tuned models, it achieves higher accuracy and robustness than any single transferred model alone, especially when the target dataset is small.

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Ensemble Transfer Learning (Aggregation of Multiple Pre-trained Models)

Taksonoomiline meetodikirje · ml-model / machine-learning

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