k_sparse_categorical_crossentropy: Categorical crossentropy with integer targets.
In dfalbel/keras: R Interface to 'Keras'

Description Usage Arguments Value Keras Backend

Categorical crossentropy with integer targets.

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

`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.

Output tensor.

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.