Class CuDNNLSTM

Inheritance

System.Object

Keras

Base

BaseLayer

RNN

CuDNNLSTM

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 CuDNNLSTM : RNN, IDisposable

Constructors

CuDNNLSTM(Int32, String, String, String, Boolean, String, String, String, String, String, String, String, Boolean, Boolean, Boolean)

Initializes a new instance of the CuDNNLSTM class.

Declaration

public CuDNNLSTM(int units, string kernel_initializer = "glorot_uniform", string recurrent_initializer = "orthogonal", string bias_initializer = "zeros", bool unit_forget_bias = true, string kernel_regularizer = "", string recurrent_regularizer = "", string bias_regularizer = "", string activity_regularizer = "", string kernel_constraint = "", string recurrent_constraint = "", string bias_constraint = "", bool return_sequences = false, bool return_state = false, bool stateful = false)

Parameters

Type	Name	Description
System.Int32	units	Positive integer, dimensionality of the output space.
System.String	kernel_initializer	Initializer for the kernel weights matrix, used for the linear transformation of the inputs (see initializers).
System.String	recurrent_initializer	Initializer for the recurrent_kernel weights matrix, used for the linear transformation of the recurrent state (see initializers).
System.String	bias_initializer	Initializer for the bias vector (see initializers).
System.Boolean	unit_forget_bias	if set to true [unit forget bias].
System.String	kernel_regularizer	Regularizer function applied to the kernel weights matrix (see regularizer).
System.String	recurrent_regularizer	Regularizer function applied to the recurrent_kernel weights matrix (see regularizer).
System.String	bias_regularizer	Regularizer function applied to the bias vector (see regularizer).
System.String	activity_regularizer	Regularizer function applied to the output of the layer (its "activation"). (see regularizer).
System.String	kernel_constraint	Constraint function applied to the kernel weights matrix (see constraints).
System.String	recurrent_constraint	Constraint function applied to the recurrent_kernel weights matrix (see constraints).
System.String	bias_constraint	Constraint function applied to the bias vector (see constraints).
System.Boolean	return_sequences	Boolean. Whether to return the last output in the output sequence, or the full sequence.
System.Boolean	return_state	Boolean. Whether to return the last state in addition to the output.
System.Boolean	stateful	Boolean (default False). If True, the last state for each sample at index i in a batch will be used as initial state for the sample of index i in the following batch.

Implements

System.IDisposable