tf.losses.get_total_loss( add_regularization_losses=True, name='total_loss' )
Returns a tensor whose value represents the total loss.
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.
add_regularization_losses: A boolean indicating whether or not to use the regularization losses in the sum.
name: The name of the returned tensor.
Tensor whose value represents the total loss.
lossesis not iterable.
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Code samples licensed under the Apache 2.0 License.