tf.nn.weighted_moments( x, axes, frequency_weights, name=None, keep_dims=False )
See the guide: Neural Network > Normalization
Returns the frequency-weighted mean and variance of
x: A tensor.
axes: 1-d tensor of int32 values; these are the axes along which to compute mean and variance.
frequency_weights: A tensor of positive weights which can be broadcast with x.
name: Name used to scope the operation.
keep_dims: Produce moments with the same dimensionality as the input.