tf.nn.moments

TensorFlow 1 version

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

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Compat aliases for migration

See Migration guide for more details.

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`.

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tf.nn / moments

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Args

Returns