tf.nn.normalize_moments
Calculate the mean and variance of based on the sufficient statistics.
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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Licensed under the Creative Commons Attribution License 4.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r2.9/api_docs/python/tf/nn/normalize_moments