Class PReLU

Inheritance

System.Object

Keras

Base

BaseLayer

PReLU

Implements

System.IDisposable

Inherited Members

BaseLayer.Set(BaseLayer[])

Base.Parameters

Base.None

Base.Init()

Base.ToPython()

Base.InvokeStaticMethod(Object, String, Dictionary<String, Object>)

Base.InvokeMethod(String, Dictionary<String, Object>)

Base.Item[String]

Keras.Instance

Keras.keras

Keras.keras2onnx

Keras.tfjs

Keras.Dispose()

Keras.ToTuple(Array)

Keras.ToList(Array)

System.Object.Equals(System.Object)

System.Object.Equals(System.Object, System.Object)

System.Object.GetHashCode()

System.Object.GetType()

System.Object.MemberwiseClone()

System.Object.ReferenceEquals(System.Object, System.Object)

System.Object.ToString()

Namespace: Keras.Layers

Assembly: Keras.dll

Syntax

public class PReLU : BaseLayer, IDisposable

Constructors

PReLU(String, String, String, Int32[])

Initializes a new instance of the PReLU class.

Declaration

public PReLU(string alpha_initializer = "zeros", string alpha_regularizer = "", string alpha_constraint = "", int[] shared_axes = null)

Parameters

Type	Name	Description
System.String	alpha_initializer	initializer function for the weights.
System.String	alpha_regularizer	regularizer for the weights.
System.String	alpha_constraint	constraint for the weights.
System.Int32[]	shared_axes	the axes along which to share learnable parameters for the activation function. For example, if the incoming feature maps are from a 2D convolution with output shape (batch, height, width, channels), and you wish to share parameters across space so that each filter only has one set of parameters, set shared_axes=[1, 2].

Implements

System.IDisposable