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We restrict the
connectivity to make
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learning easier.
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Contrastive
divergence learning requires
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the hidden units
to be in conditional
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equilibrium with
the visibles.
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But
it does not require the visible units
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to
be in conditional equilibrium with
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the
hiddens.
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All
we require is that the visible units
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are
closer to equilibrium in the
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reconstructions
than in the data.
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So we can allow
connections between
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the visibles.
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