tf.keras.backend.sparse_categorical_crossentropy

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Categorical crossentropy with integer targets.

Aliases:

• tf.compat.v1.keras.backend.sparse_categorical_crossentropy
• tf.compat.v2.keras.backend.sparse_categorical_crossentropy

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', andaxis=1corresponds to data formatchannels_first`.

Returns:

Output tensor.

Raises:

• ValueError: if axis is neither -1 nor one of the axes of output.