tf.keras.losses.categorical_crossentropy

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Computes the categorical crossentropy loss.

Aliases:

  • tf.compat.v1.keras.losses.categorical_crossentropy
  • tf.compat.v1.keras.metrics.categorical_crossentropy
  • tf.compat.v2.keras.losses.categorical_crossentropy
  • tf.compat.v2.keras.metrics.categorical_crossentropy
  • tf.compat.v2.losses.categorical_crossentropy
  • tf.compat.v2.metrics.categorical_crossentropy
  • tf.keras.metrics.categorical_crossentropy
  • tf.losses.categorical_crossentropy
  • tf.metrics.categorical_crossentropy
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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