Instantiates a variable with values drawn from a normal distribution.

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

A Keras variable, filled with drawn samples.

- 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.

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.