Transfer Learning

Transfer Learning news and updates covering reusing a model trained on one task as the starting point for another. Readers can learn about feature extraction against fine-tuning, freezing layers and learning rates, domain shift, parameter-efficient methods such as adapters, and data requirements.

Comprehensive roadmap for transfer-learning

By roadmap.sh