many to many
@zsdonghao So we are just not using this approach in machine learning?
All I see here, is that HP tuning using validation set is too heavy for ML and most popular use is for early stopping and automatic learning rate adjustment.
I have seen in theory papers, that validation set is used for h-param tuning, but I don't see popular use of it in practice.
Does this mean that if dataset is large, then we do not actually need to use that h-param tuning using validation set ?