k_mean

A list of axes to compute the mean 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 for each
entry in <code>axis</code>. If <code>keep_dims</code> is <code>TRUE</code>, the reduced dimensions are
retained with length 1.

keepdims

Mean 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_mean 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_mean: Mean of a tensor, alongside the specified axis.

Description

Usage

Arguments

Value

Keras Backend