Instantiates a variable with values drawn from a normal distribution.
k_random_normal_variable(shape, mean, scale, dtype = NULL, name = NULL, seed = NULL)
Tuple of integers, shape of returned Keras variable.
Float, mean of the normal distribution.
Float, standard deviation of the normal distribution.
String, dtype of returned Keras variable.
String, name of returned Keras variable.
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://keras.rstudio.com/articles/backend.html#backend-functions.