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.