You will start seeing loss instead of NAN. For images, you can change/edit existing training/testing sample label to missing label and execute the fit function. They prioritize commercial interests over intellectual ones. A quick hack, if you would like to use sparse categorical entropy in these situations, add just one sample each in training and testing datasets for each missing labels.
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