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# MLCAdamOptimizer

An optimizer that represents the adaptive moment estimation algorithm.

```
class MLCAdamOptimizer
```

## Topics

### Creating an Adam Optimizer

[`init(descriptor:)`](/documentation/MLCompute/MLCAdamOptimizer/init(descriptor:))

Creates an Adam optimizer with the descriptor you specify.

[`init(descriptor:beta1:beta2:epsilon:timeStep:)`](/documentation/MLCompute/MLCAdamOptimizer/init(descriptor:beta1:beta2:epsilon:timeStep:))

Creates an Adam optimizer with the values you specify.

[`init(descriptor:beta1:beta2:epsilon:usesAMSGrad:timeStep:)`](/documentation/MLCompute/MLCAdamOptimizer/init(descriptor:beta1:beta2:epsilon:usesAMSGrad:timeStep:))

Creates an Adam optimizer with the values you specify.

### Inspecting an Adam Optimizer

[`beta1`](/documentation/MLCompute/MLCAdamOptimizer/beta1)

The coefficent for computing running averages of gradient.

[`beta2`](/documentation/MLCompute/MLCAdamOptimizer/beta2)

The coefficent for computing running averages of square of gradient.

[`epsilon`](/documentation/MLCompute/MLCAdamOptimizer/epsilon)

The epsilon value for improving numerical stability.

[`timeStep`](/documentation/MLCompute/MLCAdamOptimizer/timeStep)

The initial timestep for the update.

[`usesAMSGrad`](/documentation/MLCompute/MLCAdamOptimizer/usesAMSGrad)

A Boolean value that indicates whether to use a variant of the algorithm.


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