Class RMSprop

RMSProp optimizer. It is recommended to leave the parameters of this optimizer at their default values (except the learning rate, which can be freely tuned). This optimizer is usually a good choice for recurrent neural networks.

Inheritance

System.Object

Keras

Base

RMSprop

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 RMSprop : Base, IDisposable

Constructors

RMSprop(Single, Single, Nullable<Single>, Single)

Initializes a new instance of the RMSprop class.

Declaration

public RMSprop(float lr = 0.01F, float rho = 0.9F, float? epsilon = default(float? ), float decay = 0F)

Parameters

Type	Name	Description
System.Single	lr	float >= 0. Learning rate.
System.Single	rho	The rho factor. float > 0
System.Nullable<System.Single>	epsilon	float >= 0. Fuzz factor. If None, defaults to K.epsilon().
System.Single	decay	float >= 0. Learning rate decay over each update.

Implements

System.IDisposable