activation_hard_sigmoid: Hard sigmoid activation function.

In rstudio/keras: R Interface to 'Keras'

Hard sigmoid activation function.

Description

The hard sigmoid activation is defined as:

• 0 if ⁠if x <= -3⁠

• 1 if x >= 3

• (x/6) + 0.5 if ⁠-3 < x < 3⁠

It's a faster, piecewise linear approximation of the sigmoid activation.

Usage

activation_hard_sigmoid(x)

Arguments

x	Input tensor.

Value

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

Reference

• Wikipedia "Hard sigmoid"

See Also

• https://keras.io/api/layers/activations#hardsigmoid-function

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

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