Core ML Concepts · intermediate · concept 22 of 176

🧠Transfer Learning

Using a model trained on one task as the starting point for a different task. Instead of training from scratch, you fine-tune a pretrained model, dramatically reducing data and compute requirements. Multi-task learning is the sibling trick: one model trained on several tasks at once, sharing what transfers.