Categorical crossentropy between an output tensor and a target tensor.

`k_categorical_crossentropy(target, output, from_logits = FALSE, axis = -1)`

Output tensor.

- target
A tensor of the same shape as

`output`

.- output
A tensor resulting from a softmax (unless

`from_logits`

is TRUE, in which case`output`

is expected to be the logits).- from_logits
Logical, whether

`output`

is the result of a softmax, or is a tensor of logits.- axis
Axis (axis indexes are 1-based). Pass -1 (the default) to select the last axis.

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://tensorflow.rstudio.com/reference/keras/index.html#backend.