tf.nn.weighted_moments(x, axes, frequency_weights, name=None, keep_dims=False)

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.

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.

Defined in tensorflow/python/ops/nn_impl.py.