# k_truncated_normal

## Returns a tensor with truncated random normal distribution of values.

## Description

The generated values follow a normal distribution with specified mean and standard deviation, except that values whose magnitude is more than two standard deviations from the mean are dropped and re-picked.

## Usage

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

## Arguments

Arguments | Description |
---|---|

shape | A list of integers, the shape of tensor to create. |

mean | Mean of the values. |

stddev | Standard deviation of the values. |

dtype | String, dtype of returned tensor. |

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 tensor.