Question: Derive the Backpropagation algorithm (only for the output nodes of a multi-layer perceptron) if the activation function is: phi(v) = e^-(v/sigma)^2 where sigma is a

Derive the Backpropagation algorithm (only for the output nodes of a

Derive the Backpropagation algorithm (only for the output nodes of a multi-layer perceptron) if the activation function is: phi(v) = e^-(v/sigma)^2 where sigma is a parameter to be learned for each neuron? Simplify the equations as much as possible

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