tf.keras.losses.categorical_hinge

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Computes the categorical hinge loss between y_true and y_pred.

Aliases:

  • tf.compat.v1.keras.losses.categorical_hinge
  • tf.compat.v2.keras.losses.categorical_hinge
  • tf.compat.v2.losses.categorical_hinge
  • tf.losses.categorical_hinge
tf.keras.losses.categorical_hinge(
    y_true,
    y_pred
)

Args:

  • y_true: The ground truth values. y_true values are expected to be -1 or 1. If binary (0 or 1) labels are provided they will be converted to -1 or 1.
  • y_pred: The predicted values.

Returns:

A tensor.

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