I wonder if there's some benefits of reinitialising completely the final layers and then training with the new data. At least for image processing it's common t

I wonder if there's some benefits of reinitialising completely the final layers and then training with the new data. At least for image processing it's common to use a common backbone trained on everything, and then put a final layer or two of task-specific training on top.