Translations:Transfer Learning/1/en: Difference between revisions

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Message definition (Transfer Learning)

'''Transfer learning''' is a machine learning technique in which a model trained on one task is reused as the starting point for a model on a different but related task. By leveraging knowledge acquired from large-scale {{Term|pre-training|pretraining}}, transfer learning dramatically reduces the amount of labelled data, compute, and training time required for downstream applications.

Transfer learning is a machine learning technique in which a model trained on one task is reused as the starting point for a model on a different but related task. By leveraging knowledge acquired from large-scale pretraining, transfer learning dramatically reduces the amount of labelled data, compute, and training time required for downstream applications.

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	'''Transfer learning''' is a machine learning technique in which a model trained on one task is reused as the starting point for a model on a different but related task. By leveraging knowledge acquired from large-scale pretraining, transfer learning dramatically reduces the amount of labelled data, compute, and training time required for downstream applications.		'''Transfer learning''' is a machine learning technique in which a model trained on one task is reused as the starting point for a model on a different but related task. By leveraging knowledge acquired from large-scale {{Term\|pre-training\|pretraining}}, transfer learning dramatically reduces the amount of labelled data, compute, and training time required for downstream applications.