tf.keras.backend.sparse_categorical_crossentropy

Categorical crossentropy with integer targets.

Compat aliases for migration

See Migration guide for more details.

tf.keras.backend.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`	Int specifying the channels axis. `axis=-1` corresponds to data format `channels_last', and`axis=1`corresponds to data format`channels_first`.

Returns
Output tensor.

Raises
`ValueError`	if `axis` is neither -1 nor one of the axes of `output`.

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Last updated 2020-10-01 UTC.

Arguments