2 ms·
I think the problem will remain because the "bits" (perceptrons etc.) of representation are always less than the sum of the inputs. So the training is lossy, w
by anko 12y ago
I think the problem will remain because the "bits" (perceptrons etc.) of representation are always less than the sum of the inputs. So the training is lossy, which also means not perfect.
As humans, we probably have less "blindspots" because we have learned extra double checking mechanisms, such as applying logic and our world knowledge to analyzing an image. We still fall prey to optical illusions though.