k_min: Minimum value in a tensor.
In dfalbel/keras: R Interface to 'Keras'

Description Usage Arguments Value Keras Backend

Minimum value in a tensor.

1	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.

dfalbel/keras documentation built on Nov. 27, 2019, 8:16 p.m.