How convolutional neural networks see the world
Question to deep learning practitioners:Is there any research on comparing the 99.9% confidence about something wrong, to the human weakness of 'optical illusion'?If you watch a few minutes of this Dan Ariely TED Talk [1], we humans are fooled into near certainty that the table on the left has longer vertical distance that the horizontal distance of that on the right. Even after the speaker shows this is not the case, we still "confidently see" the wrong thing. (not to mention, we suffer from non-optical illusions as well, like cognitive biases, and fallacious reasoning, as shown later in the talk).It seems to me you guys have discovered 'machine optical illusion'. It's just that the machine has illusions about something completely different. I believe exploring the space of architectures/weights/what-not might lead towards making a machine get into the same kind of optical illusions as the human visual system gets into. At the least, it looks like a very promising research direction to me.[1] https://youtu.be/9X68dm92HVI?t=2m22s