tf.contrib.losses.hinge_loss(
logits,
labels=None,
scope=None
)
Defined in tensorflow/contrib/losses/python/losses/loss_ops.py
.
Method that returns the loss tensor for hinge loss. (deprecated)
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 oflogits
andlabels
don't match.