k_std: Standard deviation of a tensor, alongside the specified axis.

In dfalbel/keras: R Interface to 'Keras'

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://keras.rstudio.com/articles/backend.html#backend-functions.

dfalbel/keras documentation built on Nov. 27, 2019, 8:16 p.m.