`k_random_normal_variable.Rd`

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.