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 .
|