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# init(type:beta:gamma:momentum:epsilon:activation:)

Returns a new fused normalization parameters structure.

```
init(type: BNNS.NormalizationType, beta: BNNSNDArrayDescriptor? = nil, gamma: BNNSNDArrayDescriptor? = nil, momentum: Float = 0, epsilon: Float, activation: BNNS.ActivationFunction)
```

## Parameters

`type`

An enumeration that specifies the normalization type.

`beta`

The descriptor of the beta.

`gamma`

The descriptor of the gamma.

`momentum`

A value, between 0 and 1, the normalization operation uses to update the moving mean and moving variance during training.

`epsilon`

The epsilon in the computation of the standard deviation.

`activation`

The activation function that the layer applies to the output.

---

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