tf.compat.v1.losses.mean_squared

Types of loss reduction.

Contains the following values:

NONE: Un-reduced weighted losses with the same shape as input.
SUM: Scalar sum of weighted losses.
MEAN: Scalar SUM divided by sum of weights. DEPRECATED.
SUM_OVER_BATCH_SIZE: Scalar SUM divided by number of elements in losses.
SUM_OVER_NONZERO_WEIGHTS: Scalar SUM divided by number of non-zero weights. DEPRECATED.
SUM_BY_NONZERO_WEIGHTS: Same as SUM_OVER_NONZERO_WEIGHTS. DEPRECATED.

Methods

`all`

@classmethod
all()

`validate`

View source

@classmethod
validate(
    key
)

Class Variables
MEAN	`'weighted_mean'`
NONE	`'none'`
SUM	`'weighted_sum'`
SUM_BY_NONZERO_WEIGHTS	`'weighted_sum_by_nonzero_weights'`
SUM_OVER_BATCH_SIZE	`'weighted_sum_over_batch_size'`
SUM_OVER_NONZERO_WEIGHTS	`'weighted_sum_by_nonzero_weights'`

TensorFlow

tf.compat / v1 / v1.losses.mean_squared_error

Methods

`all`

`validate`

Class Variables

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.mean_squared_error

Methods

all

validate

Class Variables

`all`

`validate`