Returns a tensor with normal distribution of values.

k_random_normal(shape, mean = 0, stddev = 1, dtype = NULL, seed = NULL)

shape | A list of integers, the shape of tensor to create. |
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mean | A float, mean of the normal distribution to draw samples. |

stddev | A float, standard deviation of the normal distribution to draw samples. |

dtype | String, dtype of returned tensor. |

seed | Integer, random seed. |

A tensor.

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.