Get_top loss images in multiclassification

I would like to finetune my model for the planet-kaggle competition data by training with the misclassified labels but I am not quite sure, how to figure this out.

The docu of ‘plot_multi_top_losses’ says:

Note that you can passsave_misclassified=True(by default it'sFalse). In such case, the method will return a list containing the misclassified images which you can use to debug your model and/or tune its hyperparameters.

So I would have to use this list to filter my dataloader?! How would I do that?

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