Minimum value in a tensor.

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

- x
A tensor or variable.

- axis
An integer, axis to find minimum values (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.

A tensor with miminum values of `x`

.

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.