tf.nn.weighted_moments

tf.nn.weighted_moments

tf.nn.weighted_moments

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

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

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.