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6 . ( 5 points ) The augmented error is defined as Eaug ( w ) = Ein ( w ) + wIw ,
points The augmented error is defined as Eaug w EinwwIw where Einw is the original error and w are parameters of the model. If we apply gradient descent to minimize Eaug: wt wt nV Eaug wt Show that this update rule equals to: wtnwt nV Einwt
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