Duplicating data from training set Does a model trained on a larger training set created by duplicating records perform better on the test data than the one trained on data without duplicates?
Duplicating training data for classes with fewer samples can actually improve your accuracy and that's what we call Oversampling.
But if you have balanced data and trying to duplicate then it doesn't differ from doing one more training iteration/epoch.