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First derivative of the Softplus Function

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Calculate the first derivative φ'(x) of the Softplus Function.
The Softplus function is used in neural network activation functions, among other applications.
x
\( \normalsize Softplus\ function\ \phi (x)\\ \normalsize \phi (x) = \large \ln(1+e^x) \\ \normalsize \phi ' (x) = \large \frac{1}{1+e^{-x}} \\ \)
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