As I understand it,
The algorithm will look at the photograph, and use imaging techniques to recognise certain attributes, e.g. eyes, mouth, nose etc.
They then record the sizes, colours, distances, positions etc. of all of these data points, and then run statistical analysis of all of that data, building multidimensional arrays out of it. Given enough data, you can chuck in a new set of points, and it will give you a percentage value for which pre-defined categories it's likely to fit into.
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HoratioFellatio Taking the the out of psychotherapist, Wed 1 Jul 2015, 14:37,
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More about the black box issue:
stats.stackexchange.com/questions/93705/meaning-of-a-neural-network-as-a-black-box
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Mudface The web isn't callipygian, Wed 1 Jul 2015, 15:25,
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