k_std: Standard deviation of a tensor, alongside the specified axis.
In keras: R Interface to 'Keras'

k_std

R Documentation

Standard deviation of a tensor, alongside the specified axis.

Description

Standard deviation of a tensor, alongside the specified axis.

Usage

k_std(x, axis = NULL, keepdims = FALSE)

Arguments

`x`	A tensor or variable.
`axis`	An integer, the axis to compute the standard deviation over (axis indexes are 1-based).
`keepdims`	A boolean, whether to keep the dimensions or not. If `keepdims` is `FALSE`, the rank of the tensor is reduced by 1. If `keepdims` is `TRUE`, the reduced dimension is retained with length 1.

Value

A tensor with the standard deviation of elements of x.

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.