Class TruncatedNormal

Initializer that generates a truncated normal distribution. These values are similar to values from a RandomNormal except that values more than two standard deviations from the mean are discarded and redrawn.This is the recommended initializer for neural network weights and filters.

Inheritance

System.Object

Keras

Base

TruncatedNormal

Implements

System.IDisposable

Inherited Members

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.Initializer

Assembly: Keras.dll

Syntax

public class TruncatedNormal : Base, IDisposable

Constructors

TruncatedNormal(Single, Single, Nullable<Int32>)

Initializes a new instance of the TruncatedNormal class.

Declaration

public TruncatedNormal(float mean = 0F, float stddev = 0.05F, int? seed = default(int? ))

Parameters

Type	Name	Description
System.Single	mean	float. Mean of the random values to generate.
System.Single	stddev	float. Standard deviation of the random values to generate..
System.Nullable<System.Int32>	seed	The seed number for random generator

Implements

System.IDisposable