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 | |
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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 | |
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An unweighted Tensor of same shape as logits and labels representing the loss values across the batch. |
Raises | |
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ValueError |
If the shapes of logits and labels don't match. |
© 2020 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/versions/r1.15/api_docs/python/tf/contrib/losses/hinge_loss