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Old 02-10-2013, 09:22 AM
colinpriest colinpriest is offline
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Join Date: Jan 2013
Posts: 9
Default Re: Q10 Clarification required

I think that the question wants us to choose which error measure, when implemented using the SGD method, would produce exactly the same change to weights as the perceptron learning algorithm taught back at the start of the course.
So if there is no error for the selected data point, then there is no change to the weights. If there is an error for the selected data point, then the weights are increased by yn * xn

Is that the understanding of others?
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