tf.contrib.losses.get_total_loss( add_regularization_losses=True, name='total_loss' )
Defined in tensorflow/contrib/losses/python/losses/loss_ops.py
.
See the guide: Losses (contrib) > Loss operations for use in neural networks.
Returns a tensor whose value represents the total loss. (deprecated)
THIS FUNCTION IS DEPRECATED. It will be removed after 2016-12-30. Instructions for updating: Use tf.losses.get_total_loss instead.
Notice that the function adds the given losses to the regularization losses.
add_regularization_losses
: A boolean indicating whether or not to use the regularization losses in the sum.name
: The name of the returned tensor.A Tensor
whose value represents the total loss.
ValueError
: if losses
is not iterable.
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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/get_total_loss