Derivative Softsign function
Online calculator for calculating the Derivativen Softsign function
On this page the Derivative Softsign function is calculated as it is described in the formula below. The Derivative Softsign function is used in the activation function of the neural network.
To perform the calculation, enter the argument and click the 'Calculate' button.
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Derivative Softsign function curve
Formeln zur derivativen Softsign Funktion
This derivative Softsign function is a derivative of the Softsign function, which is described by the following equations. The derivative Softsign function is used as an activation function in neural networks.
\(\displaystyle softsign'(x)= \frac{1}{(1+|x|)^2} \)
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