Consider a neural network for a quantitative outcome

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Consider a neural network for a quantitative outcome as in (10.5), using squared-error loss and identity output function gk(t) = t. Suppose that the weights αm from the input to hidden layer are nearly zero. Show that the resulting model is nearly linear in the inputs.

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