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What is the minimum number of trainable parameters if perceptron nodes with hard thresholds are used to implement a sum of products (SOP)-based 5-input XOR

What is the minimum number of trainable parameters if perceptron nodes with hard thresholds are used to implement a sum of products (SOP)-based 5-input XOR function with more than one hidden layer?

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