Method fn

numpy_ml/neural_nets/activations/activations.py:688–696

r""" Evaluate the softplus activation on the elements of input `z`. .. math:: \text{SoftPlus}(z_i) = \log(1 + e^{z_i})

(self, z)

        return "SoftPlus"

    def fn(self, z):
        r"""
        Evaluate the softplus activation on the elements of input `z`.

        .. math::

            \text{SoftPlus}(z_i) = \log(1 + e^{z_i})
        """
        return np.log(np.exp(z) + 1)

    def grad(self, x):
        r"""