Question: Consider a classification problem with two classes as C1 and C2. There are two numerical input variables X1 and X2, taking values between 0 and

Consider a classification problem with two classes as C1 and C2. There are two numerical input variables X1 and X2, taking values between 0 and infinity. All observations are of class C1, if they are above X2 = 1/X1 curve (a hyperbola) All other observations are class C2. Describe how multilayer perceptrons can separate such a boundary using as few hidden nodes as possible

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