init(learningRate:alpha:epsilon:centered:momentum:gradientScale:regularizationScale:clipsGradientsTo:regularizationFunction:)

Declaration

init(learningRate: Float, alpha: Float, epsilon: Float, centered: Bool, momentum: Float, gradientScale: Float, regularizationScale: Float, clipsGradientsTo gradientBounds: ClosedRange<Float>? = nil, regularizationFunction: BNNSOptimizerRegularizationFunction)

Parameters

• learningRate:

  A value that specifies the learning rate.

• alpha:

  A constant that specifies smoothing, in the range 0 to 1.

• epsilon:

  A term that the optimizer adds to the denominator.

• centered:

  A Boolean value that specifies whether to use the centered variant.

• momentum:

  The rate of momentum decay.

• gradientScale:

  A value that specifies the gradient scaling factor.

• regularizationScale:

  A value that specifies the regularization scaling factor.

• gradientBounds:

  The values for the minimum and maximum gradients.

• regularizationFunction:

  The variable that specifies the regularization function.

See Also

Creating an RMSProp Optimizer

• init(learningRate:alpha:epsilon:centered:momentum:gradientScale:regularizationScale:gradientClipping:regularizationFunction:)