k_random_normal_variable | R Documentation |
Instantiates a variable with values drawn from a normal distribution.
k_random_normal_variable(
shape,
mean,
scale,
dtype = NULL,
name = NULL,
seed = NULL
)
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. |
A Keras variable, filled with drawn samples.
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://tensorflow.rstudio.com/reference/keras/index.html#backend.
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