Class Dropout

Applies Dropout to the input. Dropout consists in randomly setting a fraction rate of input units to 0 at each update during training time, which helps prevent overfitting.

Inheritance

System.Object

Keras

Base

BaseLayer

Dropout

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 Dropout : BaseLayer, IDisposable

Constructors

Dropout(Double, Shape, Nullable<Int32>)

Initializes a new instance of the Dropout class.

Declaration

public Dropout(double rate, Shape noise_shape = null, int? seed = default(int? ))

Parameters

Type	Name	Description
System.Double	rate	float between 0 and 1. Fraction of the input units to drop.
Shape	noise_shape	1D integer tensor representing the shape of the binary dropout mask that will be multiplied with the input. For instance, if your inputs have shape (batch_size, timesteps, features) and you want the dropout mask to be the same for all timesteps, you can use noise_shape=(batch_size, 1, features).
System.Nullable<System.Int32>	seed	The random seed integer.

Implements

System.IDisposable