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Deep Learning - Is There a Need for Labeled Examples?
Deep learning and related techniques are all about big data. Big data meaning a lot of examples labelled by humans. But i think the biological world is more an gointo one. The child can learn the beautifuly rot a very small number of, you know, labelled examples. To what aspect would you like to see in artificial in your networks, added overtime as we try to improve them?