tf.nn.weighted_moments(
x,
axes,
frequency_weights,
name=None,
keep_dims=False
)
Defined in tensorflow/python/ops/nn_impl.py.
Returns the frequency-weighted mean and variance of x.
Args:
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.
Returns:
Two tensors: weighted_mean and weighted_variance.