Categorical crossentropy with integer targets.

k_sparse_categorical_crossentropy(target, output, from_logits = FALSE,
  axis = -1)

Arguments

target	An integer tensor.
output	A tensor resulting from a softmax (unless `from_logits` is TRUE, in which case `output` is expected to be the logits).
from_logits	Boolean, 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.

Value

Output tensor.

Keras Backend

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.