tf.nn.normalize_moments( counts, mean_ss, variance_ss, shift, name=None )
Defined in tensorflow/python/ops/nn_impl.py
.
See the guide: Neural Network > Normalization
Calculate the mean and variance of based on the sufficient statistics.
counts
: A Tensor
containing a 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.Two Tensor
objects: mean
and variance
.
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Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/api_docs/python/tf/nn/normalize_moments