My goal is to have just one split without one class, train a network and then create another network that will be trained with new data having one label more. I kinda succeeded in this creating my own class that mimic dataset, but I’m not sure if i trust the results of the training or not for now.
My point is: I want to be sure that batch of data are taken uniformly from the original dataset and then remove one label from just one split to train the first network.
If you know some other, easier, method to do it, I will be grateful