tf.compat.v1.nn.weighted_cross_entropy_with

Returns the frequency-weighted mean and variance of x.

tf.compat.v1.nn.weighted_moments(
    x, axes, frequency_weights, name=None, keep_dims=None, keepdims=None
)

Args
`x`	A tensor.
`axes`	1-d tensor of int32 values; these are the axes along which to compute mean and variance.
`frequency_weights`	A tensor of positive weights which can be broadcast with x.
`name`	Name used to scope the operation.
`keep_dims`	Produce moments with the same dimensionality as the input.
`keepdims`	Alias of keep_dims.

Returns
Two tensors: `weighted_mean` and `weighted_variance`.

TensorFlow

tf.compat / v1 / v1.nn.weighted_cross_entropy_with_logits

Args

Returns

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.nn.weighted_cross_entropy_with_logits

Args

Returns