Variance of a tensor, alongside the specified axis.
k_var(x, axis = NULL, keepdims = FALSE)
A tensor or variable.
An integer, the axis to compute the variance over (axis indexes are 1-based).
A boolean, whether to keep the dimensions or not. If
FALSE, the rank of the tensor is reduced by 1. If
TRUE, the reduced dimension is retained with length 1.
A tensor with the variance of elements of
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.