Question: In the context of perceptron classifier learning, using the logistic ( sigmoid ) function instead of the threshold function often results in: Question 1 7
In the context of perceptron classifier learning, using the logistic sigmoid function
instead of the threshold function often results in:
Question options:
A comparatively smoother learning curve.
A nonlinear separator. I.e a boundary that can separate data that isn't linearly separable.
A maximal separator as opposed to any linear separation
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