You're in danger of missing the point too far in the other direction. The system just returns yes/no as to whether an image has a face in it, and if it was hard-coded to respond "no" it would score 64.8%.
Obviously this is extremely impressive work, and given that Google gives away 1e9 core hours a year, I'd like to see how much further they can push this network (which only used 16e3x3x24 ~ 1e6 hours). But this isn't like scoring 80% in a written exam.
I'm also impressed by how readable the paper was. Apart from a few paragraphs of detailed maths this should be accessible to anyone who's read the wikipedia article on neural networks.
Obviously this is extremely impressive work, and given that Google gives away 1e9 core hours a year, I'd like to see how much further they can push this network (which only used 16e3x3x24 ~ 1e6 hours). But this isn't like scoring 80% in a written exam.
I'm also impressed by how readable the paper was. Apart from a few paragraphs of detailed maths this should be accessible to anyone who's read the wikipedia article on neural networks.
http://googleblog.blogspot.com/2011/04/1-billion-computing-c...