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 C1 and C2. The samples {(-1,1),(1,1),(1,0)} are associated with class C1, and samples {(1,3),(3,2),(-1,-2)} are associate with class C2. The perceptron won't converge (i.e. cannot be trained) when applied to these samples, why?

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