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We're not at the point of explaining complicated models with a straight face. Based on the saliency maps, it looks like the model has learned something around t
by hervature 5y ago
We're not at the point of explaining complicated models with a straight face. Based on the saliency maps, it looks like the model has learned something around the bright circles (or is it the blind spot? Not an ophthalmologist). Makes me think the network can reverse engineer distortions in the light to get curvature of the lens which might be indicative of gender differences.
- drdeca 5y agoThe circuits thread at distil.pub seems promising to me (though I’m not a ML researcher, so others would be better able to judge this) That’s not to say it is quite to the point of completely explaining each classification, but, I do think it is very promising.