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keras (version 2.7.0)

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

Description

Mean of a tensor, alongside the specified axis.

Usage

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

Arguments

x

A tensor or variable.

axis

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

Value

A tensor with the mean 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.