function layerNormalization(args) {
	  return new LayerNormalization(args);
	}
Layer-normalization layer (Ba et al., 2016).

Normalizes the activations of the previous layer for each given example in a
batch independently, instead of across a batch like in `batchNormalization`.
In other words, this layer applies a transformation that maintanis the mean
activation within each example close to0 and activation variance close to 1.

Input shape:
  Arbitrary. Use the argument `inputShape` when using this layer as the first
  layer in a model.

Output shape:
  Same as input.

References:
  - [Layer Normalization](https://arxiv.org/abs/1607.06450)

@doc {heading: 'Layers', subheading: 'Normalization', namespace: 'layers'}