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# MLCLayerNormalizationLayer

A layer that applies layer normalization over inputs.

```
class MLCLayerNormalizationLayer
```

## Topics

### Creating Layer Normalization Layers

[`init(normalizedShape:beta:gamma:varianceEpsilon:)`](/documentation/MLCompute/MLCLayerNormalizationLayer/init(normalizedShape:beta:gamma:varianceEpsilon:)-5i2aa)

Creates a normalization layer with a shape, beta and gamma tensors, and variance epsilon you specify.

[`init(normalizedShape:beta:gamma:varianceEpsilon:)`](/documentation/MLCompute/MLCLayerNormalizationLayer/init(normalizedShape:beta:gamma:varianceEpsilon:)-28e6g)

Creates a normalization layer with a shape, optional beta and gamma tensors, and variance epsilon you specify.

### Inspecting Layer Normalization Layers

[`normalizedShape`](/documentation/MLCompute/MLCLayerNormalizationLayer/normalizedShape-8ujvv)

The shape of the axes where normalization occurs.

[`normalizedShape`](/documentation/MLCompute/MLCLayerNormalizationLayer/normalizedShape-2cz6k)

The shape of the axes where normalization occurs.

[`beta`](/documentation/MLCompute/MLCLayerNormalizationLayer/beta)

The beta tensor.

[`gamma`](/documentation/MLCompute/MLCLayerNormalizationLayer/gamma)

The gamma tensor.

[`varianceEpsilon`](/documentation/MLCompute/MLCLayerNormalizationLayer/varianceEpsilon)

The variance epsilon you use for numerical stability.

[`betaParameter`](/documentation/MLCompute/MLCLayerNormalizationLayer/betaParameter)

The beta tensor parameter you use for optimizer updates.

[`gammaParameter`](/documentation/MLCompute/MLCLayerNormalizationLayer/gammaParameter)

The gamma tensor parameter you use for optimizer updates.


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