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
| Arguments | Description |
|---|---|
| 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. |
Section
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.
Value
A Keras variable, filled with drawn samples.