The intuition that complex learning systems are unreliable due to their inscrutable complexity will become moot once we train them to generate proof for their solutions.
Facial recognition is not a domain in which you will get provably correct results, until you can reconstruct an individual genotype from the phenotype. However, you may show that a feature learning algorithm extracts at least as much information as a reference algorithm.
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No, facial recognition is a pattern recognition task. I am not talking about the previous and current generation of systems, to which the above concerns do not yet apply.
End of conversation
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