# Preconfigured Activation Layers Obtain a preconfigured activation layer with common behavior. ## Discussion Use a factory to receive a preconfigured activation layer for various activation types. ## Topics ### Factory Methods [`class func celu(a: Float) -> Self`](/documentation/MLCompute/MLCActivationLayer/celu(a:)) Creates an instance of a CELU activation layer using the alpha value you specify for the CELU formation. [`class func clamp(min: Float, max: Float) -> Self`](/documentation/MLCompute/MLCActivationLayer/clamp(min:max:)) Creates an instance of a clamp activation layer using the minimum and maximum values you specify for the clamp formation. [`class func elu(a: Float) -> Self`](/documentation/MLCompute/MLCActivationLayer/elu(a:)) Creates an instance of an ELU activation layer using the alpha value you specify for the ELU formation. [`class func hardShrink(a: Float) -> Self`](/documentation/MLCompute/MLCActivationLayer/hardShrink(a:)) Creates an instance of a hard shrink activation layer using the lambda value you specify for the hard shrink formation. [`class func leakyReLU(negativeSlope: Float) -> Self`](/documentation/MLCompute/MLCActivationLayer/leakyReLU(negativeSlope:)) Creates an instance of a leaky ReLU activation layer using the angle of the negative slope you specify. [`class func linear(scale: Float, bias: Float) -> Self`](/documentation/MLCompute/MLCActivationLayer/linear(scale:bias:)) Creates an instance of a linear activation layer using the scale factor and bias value you specify. [`class func relun(a: Float, b: Float) -> Self`](/documentation/MLCompute/MLCActivationLayer/relun(a:b:)) Creates an instance of a ReLUN activation layer using the alpha and beta values you specify. [`class func softPlus(beta: Float) -> Self`](/documentation/MLCompute/MLCActivationLayer/softPlus(beta:)) Creates an instance of a soft plus activation layer using the beta value you specify for the soft plus formation. [`class func softShrink(a: Float) -> Self`](/documentation/MLCompute/MLCActivationLayer/softShrink(a:)) Creates an instance of a soft shrink activation layer using the lambda value you specify for the soft shrink formation. [`class func threshold(Float, replacement: Float) -> Self`](/documentation/MLCompute/MLCActivationLayer/threshold(_:replacement:)) Creates an instance of a threshold activation layer using the threshold and replacement values you specify. ### Factory Properties [`class var absolute: MLCActivationLayer`](/documentation/MLCompute/MLCActivationLayer/absolute) Creates an instance of an absolute activation layer. [`class var celu: MLCActivationLayer`](/documentation/MLCompute/MLCActivationLayer/celu) Creates an instance of a CELU activation layer. [`class var elu: MLCActivationLayer`](/documentation/MLCompute/MLCActivationLayer/elu) Creates an instance of a parametric ELU activation layer. [`class var gelu: MLCActivationLayer`](/documentation/MLCompute/MLCActivationLayer/gelu) Creates an instance of a GELU activation layer. [`class var hardShrink: MLCActivationLayer`](/documentation/MLCompute/MLCActivationLayer/hardShrink) Creates an instance of a hard shrink activation layer. [`class var hardSigmoid: MLCActivationLayer`](/documentation/MLCompute/MLCActivationLayer/hardSigmoid) Creates an instance of a hard sigmoid activation layer. [`class var hardSwish: MLCActivationLayer`](/documentation/MLCompute/MLCActivationLayer/hardSwish) Creates an instance of a hard swish activation layer. [`class var leakyReLU: MLCActivationLayer`](/documentation/MLCompute/MLCActivationLayer/leakyReLU) Creates an instance of a leaky ReLU activation layer. [`class var logSigmoid: MLCActivationLayer`](/documentation/MLCompute/MLCActivationLayer/logSigmoid) Creates an instance of a log sigmoid activation layer. [`class var relu: MLCActivationLayer`](/documentation/MLCompute/MLCActivationLayer/relu) Creates an instance of a ReLU activation layer. [`class var relu6: MLCActivationLayer`](/documentation/MLCompute/MLCActivationLayer/relu6) Creates an instance of a ReLU6 activation layer. [`class var selu: MLCActivationLayer`](/documentation/MLCompute/MLCActivationLayer/selu) Creates an instance of a SELU activation layer. [`class var sigmoid: MLCActivationLayer`](/documentation/MLCompute/MLCActivationLayer/sigmoid) Creates an instance of a sigmoid activation layer. [`class var softPlus: MLCActivationLayer`](/documentation/MLCompute/MLCActivationLayer/softPlus) Creates an instance of a parametric soft plus activation layer. [`class var softShrink: MLCActivationLayer`](/documentation/MLCompute/MLCActivationLayer/softShrink) Creates an instance of a soft shrink activation layer. [`class var softSign: MLCActivationLayer`](/documentation/MLCompute/MLCActivationLayer/softSign) Creates an instance of a parametric soft sign activation layer. [`class var tanh: MLCActivationLayer`](/documentation/MLCompute/MLCActivationLayer/tanh) Creates an instance of a hyperbolic tangent activation layer. [`class var tanhShrink: MLCActivationLayer`](/documentation/MLCompute/MLCActivationLayer/tanhShrink) Creates an instance of a tanh shrink activation layer. --- 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)