Class SpatialDropout1D

Spatial 1D version of Dropout. This version performs the same function as Dropout, however it drops entire 1D feature maps instead of individual elements.If adjacent frames within feature maps are strongly correlated (as is normally the case in early convolution layers) then regular dropout will not regularize the activations and will otherwise just result in an effective learning rate decrease.In this case, SpatialDropout1D will help promote independence between feature maps and should be used instead.

Inheritance

System.Object

Keras

Base

BaseLayer

SpatialDropout1D

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 SpatialDropout1D : BaseLayer, IDisposable

Constructors

SpatialDropout1D(Single, Shape)

Initializes a new instance of the SpatialDropout1D class.

Declaration

public SpatialDropout1D(float rate, Shape input_shape = null)

Parameters

Type	Name	Description
System.Single	rate	float between 0 and 1. Fraction of the input units to drop.
Shape	input_shape	3D tensor with shape: (samples, timesteps, channels)

Implements

System.IDisposable