# init(learningRate:momentum:gradientScale:regularizationScale:clipsGradientsTo:usesNestrovMomentum:regularizationFunction:sgdMomentumVariant:) Returns a new stochastic gradient descent (SGD) with momentum optimizer object. ``` init(learningRate: Float, momentum: Float, gradientScale: Float, regularizationScale: Float, clipsGradientsTo gradientBounds: ClosedRange? = nil, usesNestrovMomentum: Bool, regularizationFunction: BNNSOptimizerRegularizationFunction, sgdMomentumVariant: BNNSOptimizerSGDMomentumVariant) ``` ## Parameters `learningRate` A value that specifies the learning rate. `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. `usesNestrovMomentum` A Boolean value that specifies whether to use Nesterov momentum update. `regularizationFunction` The variable that specifies the regularization function. `sgdMomentumVariant` The variable that specifies the momentum variant. --- Copyright © 2026 Apple Inc. All rights reserved. | [Terms of Use](https://www.apple.com/legal/internet-services/terms/site.html) | [Privacy Policy](https://www.apple.com/privacy/privacy-policy)