I want to train a deep neural network for classifying images. In my database some samples correspond to "unknown" or "don't-care" classes. For the classic neural networks, the following link
mentions that such classes can be represented by NaN. However, for deep neural networks that is not an option as the responses cannot contain any NaN as per:
How to handle NaNs in the response data in deep neural networks if my output response contains unknown values?
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