What is Transfer Learning?
ML Fundamentals
Transfer Learning — Using a model pre-trained on a large dataset as a starting point for a new task. Instead of training from scratch, you fine-tune the pre-trained model on your smaller dataset.
FAQ
What is transfer learning?
Starting with a pre-trained model and adapting it to your task. Much faster and cheaper than training from scratch.
Why does transfer learning work?
Pre-trained models learn general features (language patterns, image edges) that transfer to specific tasks with minimal additional training.
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