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| • |
When the weights
are very
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small, every
hidden unit is in
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its linear range.
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– |
So
a net with a large layer
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of
hidden units is linear.
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– |
It
has no more capacity
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than
a linear net in which
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the
inputs are directly
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connected
to the outputs!
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| • |
As the weights
grow, the
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hidden units
start using their
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non-linear ranges
so the
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capacity grows.
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