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k_random_normal_variable

Instantiates a variable with values drawn from a normal distribution.


Description

Instantiates a variable with values drawn from a normal distribution.

Usage

k_random_normal_variable(
  shape,
  mean,
  scale,
  dtype = NULL,
  name = NULL,
  seed = NULL
)

Arguments

shape

Tuple of integers, shape of returned Keras variable.

mean

Float, mean of the normal distribution.

scale

Float, standard deviation of the normal distribution.

dtype

String, dtype of returned Keras variable.

name

String, name of returned Keras variable.

seed

Integer, random seed.

Value

A Keras variable, filled with drawn samples.

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.


keras

R Interface to 'Keras'

v2.4.0
MIT + file LICENSE
Authors
Daniel Falbel [ctb, cph, cre], JJ Allaire [aut, cph], François Chollet [aut, cph], RStudio [ctb, cph, fnd], Google [ctb, cph, fnd], Yuan Tang [ctb, cph] (<https://orcid.org/0000-0001-5243-233X>), Wouter Van Der Bijl [ctb, cph], Martin Studer [ctb, cph], Sigrid Keydana [ctb]
Initial release

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