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The six hidden
units in the bottleneck connected to the
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input
representation of person 1 learn to represent
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features of
people that are useful for predicting the
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answer.
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Nationality,
generation, branch of the family tree.
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These features
are only useful if the other bottlenecks
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use similar
representations and the central layer learns
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how features
predict other features. For example:
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Input
person is of generation 3 and
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relationship
requires answer to be one generation up
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implies
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Output
person is of generation 2
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