recunn.util

Class NeuralNetworkHelper

java.lang.Object

recunn.util.NeuralNetworkHelper

public class NeuralNetworkHelper
extends java.lang.Object

Constructor Summary

Constructors

Constructor and Description
NeuralNetworkHelper()

Method Summary

Modifier and Type	Method and Description
static NeuralNetwork	makeFeedForward(int inputDimension, int hiddenDimension, int hiddenLayers, int outputDimension, Nonlinearity hiddenUnit, Nonlinearity decoderUnit, double initParamsStdDev, java.util.Random rng)
static NeuralNetwork	makeGru(int inputDimension, int hiddenDimension, int hiddenLayers, int outputDimension, Nonlinearity decoderUnit, double initParamsStdDev, java.util.Random rng)
static NeuralNetwork	makeLstm(int inputDimension, int hiddenDimension, int hiddenLayers, int outputDimension, Nonlinearity decoderUnit, double initParamsStdDev, java.util.Random rng)
static NeuralNetwork	makeLstmWithInputBottleneck(int inputDimension, int bottleneckDimension, int hiddenDimension, int hiddenLayers, int outputDimension, Nonlinearity decoderUnit, double initParamsStdDev, java.util.Random rng)
static NeuralNetwork	makeRnn(int inputDimension, int hiddenDimension, int hiddenLayers, int outputDimension, Nonlinearity hiddenUnit, Nonlinearity decoderUnit, double initParamsStdDev, java.util.Random rng)

Methods inherited from class java.lang.Object

equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

NeuralNetworkHelper

public NeuralNetworkHelper()

Method Detail

makeLstm

public static NeuralNetwork makeLstm(int inputDimension,
                                     int hiddenDimension,
                                     int hiddenLayers,
                                     int outputDimension,
                                     Nonlinearity decoderUnit,
                                     double initParamsStdDev,
                                     java.util.Random rng)

makeLstmWithInputBottleneck

public static NeuralNetwork makeLstmWithInputBottleneck(int inputDimension,
                                                        int bottleneckDimension,
                                                        int hiddenDimension,
                                                        int hiddenLayers,
                                                        int outputDimension,
                                                        Nonlinearity decoderUnit,
                                                        double initParamsStdDev,
                                                        java.util.Random rng)

makeFeedForward

public static NeuralNetwork makeFeedForward(int inputDimension,
                                            int hiddenDimension,
                                            int hiddenLayers,
                                            int outputDimension,
                                            Nonlinearity hiddenUnit,
                                            Nonlinearity decoderUnit,
                                            double initParamsStdDev,
                                            java.util.Random rng)

makeGru

public static NeuralNetwork makeGru(int inputDimension,
                                    int hiddenDimension,
                                    int hiddenLayers,
                                    int outputDimension,
                                    Nonlinearity decoderUnit,
                                    double initParamsStdDev,
                                    java.util.Random rng)

makeRnn

public static NeuralNetwork makeRnn(int inputDimension,
                                    int hiddenDimension,
                                    int hiddenLayers,
                                    int outputDimension,
                                    Nonlinearity hiddenUnit,
                                    Nonlinearity decoderUnit,
                                    double initParamsStdDev,
                                    java.util.Random rng)