k_std

An integer, the axis to compute the standard deviation over
(axis indexes are 1-based).

axis

A boolean, whether to keep the dimensions or not. If
<code>keepdims</code> is <code>FALSE</code>, the rank of the tensor is reduced by 1. If
<code>keepdims</code> is <code>TRUE</code>, the reduced dimension is retained with length 1.

keepdims

Standard deviation of a tensor, alongside the specified axis.

Interface to 'Keras' <https://keras.io>, a high-level neural
networks 'API'. 'Keras' was developed with a focus on enabling fast experimentation,
supports both convolution based networks and recurrent networks (as well as
combinations of the two), and runs seamlessly on both 'CPU' and 'GPU' devices.

Tomasz Kalinowski

keras

R Interface to 'Keras'

Daniel Falbel

JJ Allaire

Fran<c3><a7>ois Chollet

RStudio 

Google 

Yuan Tang

Wouter Van Der Bijl

Martin Studer

Sigrid Keydana

k_std function

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:
<a href="https://keras.rstudio.com/articles/backend.html#backend-functions">https://keras.rstudio.com/articles/backend.html#backend-functions</a>.

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

Description

Usage

Arguments

Value

Keras Backend