Handle data that belongs to classes not seen in training or testing

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How to use BCEWithLogitsLossFlat in lesson1-pets.ipynb

Is it possible or does it make sense to use BCEWithLogitsLossFlat in the lesson1-pets notebook to build a model which can make “reasonable” predictions on images which don’t contain one of the training classes. That is a model which when presented with a new breed of dog/cat should generate low “probabilities” for all classes in the way Jeremy described in Lesson 9. I have tried using MultiCategoryBlock path = untar_data(URLs.PETS) path_img = path/'images' fnames = get_image_files(path_img) p…

mrfabulous1