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.