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Instead of
trying to store vectors in one shot as
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Hopfield does,
cycle through the training set
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many times.
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use
the perceptron convergence procedure to
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train
each unit to have the correct state given
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the
states of all the other units in that vector.
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This
uses the capacity of the weights
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efficiently.
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