keras: k_sparse_categorical_crossentropy – R documentation

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keras

k_sparse_categorical_crossentropy

Categorical crossentropy with integer targets.

Description

Categorical crossentropy with integer targets.

Usage

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.

keras

R Interface to 'Keras'

v2.4.0

MIT + file LICENSE

Authors

Daniel Falbel [ctb, cph, cre], JJ Allaire [aut, cph], François Chollet [aut, cph], RStudio [ctb, cph, fnd], Google [ctb, cph, fnd], Yuan Tang [ctb, cph] (<https://orcid.org/0000-0001-5243-233X>), Wouter Van Der Bijl [ctb, cph], Martin Studer [ctb, cph], Sigrid Keydana [ctb]

Initial release

k_sparse_categorical_crossentropy

Description

Usage

Arguments

Value

Keras Backend

keras

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