# tf.nn.normalize_moments

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| [![](https://www.tensorflow.org/images/GitHub-Mark-32px.png) View source on GitHub](https://github.com/tensorflow/tensorflow/blob/v2.13.1/tensorflow/python/ops/nn_impl.py#L1293-L1323) |

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

#### View aliases


**Compat aliases for migration**

See
[Migration guide](https://www.tensorflow.org/guide/migrate) for
more details.

[`tf.compat.v1.nn.normalize_moments`](https://www.tensorflow.org/api_docs/python/tf/nn/normalize_moments)

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

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| ## 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. |

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

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