k_hard_sigmoid: Segment-wise linear approximation of sigmoid.

View source: R/backend.R

k_hard_sigmoidR Documentation

Segment-wise linear approximation of sigmoid.

Description

Faster than sigmoid. Returns 0. if x < -2.5, 1. if x > 2.5. In ⁠-2.5 <= x <= 2.5⁠, returns 0.2 * x + 0.5.

Usage

k_hard_sigmoid(x)

Arguments

x

A tensor or variable.

Value

A tensor.

Keras Backend

This function is part of a set of Keras backend functions that enable lower level access to the core operations of the backend tensor engine (e.g. TensorFlow, CNTK, Theano, etc.).

You can see a list of all available backend functions here: https://tensorflow.rstudio.com/reference/keras/index.html#backend.


keras documentation built on May 29, 2024, 3:20 a.m.