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This repository has been archived by the owner on Jun 13, 2024. It is now read-only.
With the crossentropy model, performing softmax on the last dense layer, every image seems to have neutral as its highest (99%+) value. Is that in line with your results? Any suggestions for neutralizing neutral?
The text was updated successfully, but these errors were encountered:
I do have the same problem, I replace the FER 2013 emotion label with the mostly marked label in FER+, then trained that dataset with MobileNet. I get the model test accuracy with ~80% .
Then I randomly choose multi web downloaded images to run the forward progress. I get most results of neutral while some of the images should be happiness or sad
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With the crossentropy model, performing softmax on the last dense layer, every image seems to have neutral as its highest (99%+) value. Is that in line with your results? Any suggestions for neutralizing neutral?
The text was updated successfully, but these errors were encountered: