Question: Consider training a single perceptron ( with sign activation function ) to separate data points into two classes C 1 and C 2 . The
Consider training a single perceptron with sign activation function to separate data points into two classes C and C The samples are associated with class C and samples are associate with class C The perceptron won't converge ie cannot be trained when applied to these samples, why?
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