MultiLayerRNN

Full name Microsoft.VisualBasic.MachineLearning.RNN.MultiLayerRNN Assembly Microsoft.VisualBasic.DeepLearning Members 10

01 Syntax

Microsoft.VisualBasic.MachineLearning.RNN.MultiLayerRNN

02 Methods

Name	Overloads	Summary
.ctor	2	Creates a net with default parameters.
sampleIndices	2
initialize	1
forwardBackward	1

03 Properties

Name	Overloads	Summary
Initialized	1	Returns true if the net was initialized.
VocabularySize	1	Returns the vocabulary size - max index + 1.
HiddenSize	1
LearningRate	1

04 Members

method .ctor #

#ctor

Creates a net with default parameters.

method .ctor overload 2 #

#ctor(Int32)

Creates a net with default parameters and initializes immediately.

Parameters

Name	Type	Description
`vocabularySize`	`Int32`	-

method sampleIndices overload 2 #

sampleIndices(Int32, Int32(), Double)

property Initialized #

Initialized

Returns true if the net was initialized.

property VocabularySize #

VocabularySize

Returns the vocabulary size - max index + 1.

property HiddenSize #

HiddenSize

property LearningRate #

LearningRate

method initialize #

initialize(Int32)

method forwardBackward #

forwardBackward(Int32(), Int32())

method sampleIndices #

sampleIndices(Int32, Int32(), Double, Boolean)