tf.keras.losses.CategoricalHinge

Computes the categorical hinge loss between y_true & y_pred.

Inherits From: Loss

Formula:

loss = maximum(neg - pos + 1, 0)

where neg=maximum((1-y_true)*y_pred) and pos=sum(y_true*y_pred)

reduction Type of reduction to apply to the loss. In almost all cases this should be "sum_over_batch_size". Supported options are "sum", "sum_over_batch_size" or None.
name Optional name for the loss instance.

Methods

call

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from_config

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get_config

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__call__

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Call self as a function.