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# init(descriptor:beta1:beta2:epsilon:timeStep:)

Creates an Adam optimizer with the values you specify.

```
convenience init(descriptor optimizerDescriptor: MLCOptimizerDescriptor, beta1: Float, beta2: Float, epsilon: Float, timeStep: Int)
```

## Parameters

`optimizerDescriptor`

An object for configuring the optimizer.

`beta1`

The coefficent for computing running averages of gradient. The default value is `0.9`.

`beta2`

The coefficent for computing running averages of square of gradient. The default value is `0.999`.

`epsilon`

The epsilon value for improving numerical stability. The default value is `1e-8`.

`timeStep`

The initial timestep for the update. The default value is `1`.

## Discussion

---

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