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It is no different from, say, regression (though we also have classification problems etc.), hence it doesn't make much sense to add hidden layers. The computational process itself has nothing to do with the outcome. Or better, a result known as universal approximation theorem ( https://en.wikipedia.org/wiki/Universal_approximation_theorem ) plainly says that you can do with one hidden layer.