C# Класс Accord.Neuro.Learning.DeepBeliefNetworkLearning

Deep Belief Network learning algorithm.
Наследование: IUnsupervisedLearning
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Открытые методы

Метод Описание
ComputeError ( double inputs ) : double

Computes the reconstruction error for a given set of input values.
DeepBeliefNetworkLearning ( DeepBeliefNetwork network ) : System

Creates a new DeepBeliefNetworkLearning algorithm.
GetLayerAlgorithm ( int layerIndex ) : IUnsupervisedLearning

Gets the unsupervised learning algorithm allocated for the given layer.
GetLayerInput ( double input ) : double[][]

Gets the learning data needed to train the currently selected layer. The return of this function should then be passed to RunEpoch(double[][]) to actually run a learning epoch.
GetLayerInput ( double batches ) : double[][][]

Gets the learning data needed to train the currently selected layer. The return of this function should then be passed to RunEpoch(double[][]) to actually run a learning epoch.
Run ( double input ) : double

Runs a single learning iteration.
RunEpoch ( double input ) : double

Runs a single batch epoch of the learning algorithm.

Приватные методы

Метод Описание
createAlgorithms ( ) : void

Описание методов

ComputeError() публичный Метод

Computes the reconstruction error for a given set of input values.
public ComputeError ( double inputs ) : double
inputs double The input values.
Результат double

DeepBeliefNetworkLearning() публичный Метод

Creates a new DeepBeliefNetworkLearning algorithm.
public DeepBeliefNetworkLearning ( DeepBeliefNetwork network ) : System
network Accord.Neuro.Networks.DeepBeliefNetwork The network to be trained.
Результат System

GetLayerAlgorithm() публичный Метод

Gets the unsupervised learning algorithm allocated for the given layer.
public GetLayerAlgorithm ( int layerIndex ) : IUnsupervisedLearning
layerIndex int The index of the layer to get the algorithm for.
Результат IUnsupervisedLearning

GetLayerInput() публичный Метод

Gets the learning data needed to train the currently selected layer. The return of this function should then be passed to RunEpoch(double[][]) to actually run a learning epoch.
public GetLayerInput ( double input ) : double[][]
input double The batch of input data.
Результат double[][]

GetLayerInput() публичный Метод

Gets the learning data needed to train the currently selected layer. The return of this function should then be passed to RunEpoch(double[][]) to actually run a learning epoch.
public GetLayerInput ( double batches ) : double[][][]
batches double The mini-batches of input data.
Результат double[][][]

Run() публичный Метод

Runs a single learning iteration.
public Run ( double input ) : double
input double A single input vector.
Результат double

RunEpoch() публичный Метод

Runs a single batch epoch of the learning algorithm.
public RunEpoch ( double input ) : double
input double Array of input vectors.
Результат double