# k_std

## Standard deviation of a tensor, alongside the specified axis.

## Description

Standard deviation of a tensor, alongside the specified axis.

## Usage

```
k_std(x, axis = NULL, keepdims = FALSE)
```

## Arguments

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

x | A tensor or variable. |

axis | An integer, the axis to compute the standard deviation over (axis indexes are 1-based). |

keepdims | A boolean, whether to keep the dimensions or not. If `keepdims` is `FALSE` , the rank of the tensor is reduced by 1. If `keepdims` is `TRUE` , the reduced dimension is retained with length 1. |

## 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 with the standard deviation of elements of `x`

.