Instantiates a variable with values drawn from a normal distribution.
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://keras.rstudio.com/articles/backend.html#backend-functions.
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