Question: Consider the unregularized perceptron update for binary classes with learning rate . Show that using any value of is inconsequential in the sense that it

Consider the unregularized perceptron update for binary classes with learning rate . Show that using any value of is inconsequential in the sense that it only scales up the weight vector by a factor of . Show that these results also hold true for the multiclass case. Do the results hold true when regularization is used?

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