tf.compat.v1.losses.get

Gets the total regularization loss.

tf.compat.v1.losses.get_regularization_loss(
    scope=None, name='total_regularization_loss'
)

Used in the notebooks

Used in the guide
Migrate your TensorFlow 1 code to TensorFlow 2

Args
`scope`	An optional scope name for filtering the losses to return.
`name`	The name of the returned tensor.

Returns
A scalar regularization loss.

TensorFlow

tf

tf.audio

tf.autograph

tf.bitwise

tf.compat

tf.config

tf.data

tf.debugging

tf.distribute

tf.dtypes

tf.errors

tf.estimator

tf.experimental

tf.feature_column

tf.graph_util

tf.image

tf.initializers

tf.io

tf.keras

tf.linalg

tf.lite

tf.lookup

tf.losses

tf.math

tf.metrics

tf.nest

tf.nn

tf.optimizers

tf.quantization

tf.queue

tf.ragged

tf.random

tf.raw_ops

tf.saved_model

tf.sets

tf.signal

tf.sparse

tf.strings

tf.summary

tf.sysconfig

tf.test

tf.tpu

tf.train

tf.version

tf.xla

tf.compat / v1 / v1.losses.get_losses

Used in the notebooks

Args

Returns