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Let's say that I have a model that can recognize Cats and Dogs. However, when I use a picture of a Cup or Human it generates a random prediction at 0.70 confidence. Should I use sigmoid instead of softmax?

Or is there any fix for preventing massive confidence on new class object?

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  • $\begingroup$ For binary classification sigmoid is softmax. So it shouldn’t matter much. $\endgroup$ – Anonymous Emu Jun 6 at 8:07

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