tf.contrib.losses.hinge_loss

Method that returns the loss tensor for hinge loss. (deprecated)

tf.contrib.losses.hinge_loss(
    logits, labels=None, scope=None
)

Args
`logits`	The logits, a float tensor. Note that logits are assumed to be unbounded and 0-centered. A value > 0 (resp. < 0) is considered a positive (resp. negative) binary prediction.
`labels`	The ground truth output tensor. Its shape should match the shape of logits. The values of the tensor are expected to be 0.0 or 1.0. Internally the {0,1} labels are converted to {-1,1} when calculating the hinge loss.
`scope`	The scope for the operations performed in computing the loss.

Returns
An unweighted `Tensor` of same shape as `logits` and `labels` representing the loss values across the batch.

Raises
`ValueError`	If the shapes of `logits` and `labels` don't match.

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Last updated 2020-10-01 UTC.

Args