Imagine you're developing a model to recognize rare bird species from images. You don't have many labeled examples of these rare birds, but you have a model trained on thousands of common bird species. How might you leverage this existing model for your task?
- Fine-tuning the Pre-trained Model
- Random Initialization of Weights
- Training the Model from Scratch
- Using the Model Only for Common Bird Recognition
Fine-tuning involves taking a pre-trained model and adjusting its parameters, typically only in the final layers, to specialize it for your specific task, which is recognizing rare bird species in this case.
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