tf.nn.normalize_moments

Calculate the mean and variance of based on the sufficient statistics.

Compat aliases for migration

tf.compat.v1.nn.normalize_moments

tf.nn.normalize_moments(
    counts, mean_ss, variance_ss, shift, name=None
)

Args
`counts`	A `Tensor` containing the total count of the data (one value).
`mean_ss`	A `Tensor` containing the mean sufficient statistics: the (possibly shifted) sum of the elements to average over.
`variance_ss`	A `Tensor` containing the variance sufficient statistics: the (possibly shifted) squared sum of the data to compute the variance over.
`shift`	A `Tensor` containing the value by which the data is shifted for numerical stability, or `None` if no shift was performed.
`name`	Name used to scope the operations that compute the moments.

Returns
Two `Tensor` objects: `mean` and `variance`.

Except as otherwise noted, the content of this page is licensed under the Creative Commons Attribution 4.0 License, and code samples are licensed under the Apache 2.0 License. For details, see the Google Developers Site Policies. Java is a registered trademark of Oracle and/or its affiliates. Some content is licensed under the numpy license.

Last updated 2023-03-23 UTC.

Args