Consider a scenario where I want to fine tune a trained model for a downstream task.
The trained model used [0, 1] normalization during its training. Now, is it okay if I do a z-score normalization [ input = (input - mean) / std ] while fine tuning?
I am not sure how to make sense of this scenario. Please help.