A pretrained model supplies representations or parameters that serve as the starting point for adaptation. It is especially useful when the target task has less labeled data than would be needed to train from scratch.
Transfer learning reuses knowledge learned on one dataset or task to improve learning on another.
A pretrained model supplies representations or parameters that serve as the starting point for adaptation. It is especially useful when the target task has less labeled data than would be needed to train from scratch.