Derive the backpropagation training algorithm for the case, Data Structure & Algorithms

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Derive the backpropagation training algorithm for the case

Problem

Derive the backpropagation training algorithm for the case where the neurons in the hidden layer have a logistic function for the activation function and the neurons in the output layer have linear activation functions. Compare the results with those obtained in section 8.7 where this arrangement of activation functions is used.

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Data Structure & Algorithms: Derive the backpropagation training algorithm for the case

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Data Structure & Algorithms: Derive the backpropagation training algorithm for the case

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