contrib.losses.hinge_loss
tf.contrib.losses.hinge_loss
tf.contrib.losses.hinge_loss
hinge_loss( logits, labels=None, scope=None )
Defined in tensorflow/contrib/losses/python/losses/loss_ops.py
.
See the guide: Losses (contrib) > Loss operations for use in neural networks.
Method that returns the loss tensor for hinge loss. (deprecated)
THIS FUNCTION IS DEPRECATED. It will be removed after 2016-12-30. Instructions for updating: Use tf.losses.hinge_loss instead. Note that the order of the predictions and labels arguments were changed.
Args:
-
logits
: The logits, a float tensor. -
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. -
scope
: The scope for the operations performed in computing the loss.
Returns:
A 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.
© 2017 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/api_docs/python/tf/contrib/losses/hinge_loss