Categorical crossentropy between an output tensor and a target tensor.
k_categorical_crossentropy(target, output, from_logits = FALSE, axis = -1)
A tensor of the same shape as
A tensor resulting from a softmax (unless
TRUE, in which case
output is expected to be the logits).
output is the result of a softmax, or
is a tensor of logits.
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://keras.rstudio.com/articles/backend.html#backend-functions.