NCA-GENL - Software Development - Section 2.2

Leverage transfer learning for efficient results with less data and computation.

Use transfer learning to initialise a model with weights pre-trained on a large dataset, then fine-tune only the final layers on a smaller domain-specific dataset to reduce both training time and data requirements. Distinguish full fine-tuning from feature extraction, and recognise when each is preferable given available compute and labelled data.

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