activation_softplus: Softplus activation function.

activation_softplusR Documentation

Softplus activation function.

Description

It is defined as: softplus(x) = log(exp(x) + 1).

Usage

activation_softplus(x)

Arguments

x

Input tensor.

Value

A tensor, the result from applying the activation to the input tensor x.

See Also

Other activations:
activation_elu()
activation_exponential()
activation_gelu()
activation_hard_sigmoid()
activation_leaky_relu()
activation_linear()
activation_log_softmax()
activation_mish()
activation_relu()
activation_relu6()
activation_selu()
activation_sigmoid()
activation_silu()
activation_softmax()
activation_softsign()
activation_tanh()


rstudio/keras documentation built on April 27, 2024, 10:11 p.m.