Class AlphaDropout

Applies Alpha Dropout to the input. Alpha Dropout is a Dropout that keeps mean and variance of inputs to their original values, in order to ensure the self-normalizing property even after this dropout. Alpha Dropout fits well to Scaled Exponential Linear Units by randomly setting activations to the negative saturation value.

Inheritance

System.Object

Keras

Base

BaseLayer

AlphaDropout

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 AlphaDropout : BaseLayer, IDisposable

Constructors

AlphaDropout(Single, NDarray<Int32>, Nullable<Int32>)

Initializes a new instance of the AlphaDropout class.

Declaration

public AlphaDropout(float rate, NDarray<int> noise_shape = null, int? seed = default(int? ))

Parameters

Type	Name	Description
System.Single	rate	float, drop probability (as with Dropout). The multiplicative noise will have standard deviation sqrt(rate / (1 - rate)).
Numpy.NDarray<System.Int32>	noise_shape	A 1-D Tensor of type int32, representing the shape for randomly generated keep/drop flags.
System.Nullable<System.Int32>	seed	A Python integer to use as random seed.

Implements

System.IDisposable