tf.keras.losses.categorical_crossentropy
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Computes the categorical crossentropy loss.

Main aliases

Compat aliases for migration

See Migration guide for more details.

tf.keras.losses.categorical_crossentropy(
    y_true, y_pred, from_logits=False, label_smoothing=0
)

Args
`y_true`	tensor of true targets.
`y_pred`	tensor of predicted targets.
`from_logits`	Whether `y_pred` is expected to be a logits tensor. By default, we assume that `y_pred` encodes a probability distribution.
`label_smoothing`	Float in [0, 1]. If > `0` then smooth the labels.

Returns
Categorical crossentropy loss value.

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Last updated 2020-10-01 UTC.

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