Class SGD

Stochastic gradient descent optimizer. Includes support for momentum, learning rate decay, and Nesterov momentum.

Inheritance

System.Object

Keras

Base

SGD

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.Optimizers

Assembly: Keras.dll

Syntax

public class SGD : Base, IDisposable

Constructors

SGD(Single, Single, Single, Boolean)

Initializes a new instance of the SGD class.

Declaration

public SGD(float lr = 0.01F, float momentum = 0F, float decay = 0F, bool nesterov = false)

Parameters

Type	Name	Description
System.Single	lr	float >= 0. Learning rate.
System.Single	momentum	float >= 0. Parameter that accelerates SGD in the relevant direction and dampens oscillations.
System.Single	decay	float >= 0. Learning rate decay over each update.
System.Boolean	nesterov	boolean. Whether to apply Nesterov momentum.

Implements

System.IDisposable