Freeze the Backbone, Train the Head
Reuse learned features cheaply.
Borrow a Smart Brain
Why train from zero? A model already trained on millions of images has learned useful features. Transfer learning reuses that knowledge for your task. 🧠
Backbone vs Head
A pretrained model has two parts: the backbone that extracts general features, and the head that makes the final prediction for its original task.
All lessons in this course
- Freeze the Backbone, Train the Head
- Fine-Tune with a Lower Learning Rate
- Discriminative Layer-Wise Rates
- Fine-Tune a Hugging Face Model