Returns a tensor whose value represents the total loss.
Compat aliases for migration
See Migration guide for more details.
tf.losses.get_total_loss( add_regularization_losses=True, name='total_loss', scope=None )
In particular, this adds any losses you have added with
tf.add_loss() to any regularization losses that have been added by regularization parameters on layers constructors e.g.
tf.layers. Be very sure to use this if you are constructing a loss_op manually. Otherwise regularization arguments on
tf.layers methods will not function.
| ||A boolean indicating whether or not to use the regularization losses in the sum.|
| ||The name of the returned tensor.|
| || An optional scope name for filtering the losses to return. Note that this filters the losses added with |
| A |
| || if |
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Code samples licensed under the Apache 2.0 License.