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A linear neuron
is a more
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flexible model if
we
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include a bias.
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We can avoid
having to
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figure out a
separate
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learning rule
for the bias
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by using a trick:
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– |
A
bias is exactly
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equivalent
to a weight
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on
an extra input line
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that
always has an
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activity
of 1.
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