Question: For a single - layer perceptron, which statement is true for a viable error function? Here w . x denotes the weighted sum of inputs.

For a single-layer perceptron, which statement is true for a viable error function? Here w.x denotes the weighted sum of inputs.
E=-w*x for any input for which the output is 1 and the classification is correct.
E=w.x for any input for which the output is 1 and the classification is incorrect.
E=-1 for any input for which the output is 1 and the classification is correct.
E=1 for any input for which the output is 1 and the classification is incorrect.
For a single - layer perceptron, which statement

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