Uses of Class
org.deeplearning4j.nn.WeightInit

Packages that use WeightInit

Package	Description
org.deeplearning4j.nn
org.deeplearning4j.nn.conf

Uses of WeightInit in org.deeplearning4j.nn

Methods in org.deeplearning4j.nn that return WeightInit

Modifier and Type	Method and Description
static WeightInit	WeightInit.valueOf(String name) Returns the enum constant of this type with the specified name.
static WeightInit[]	WeightInit.values() Returns an array containing the constants of this enum type, in the order they are declared.

Methods in org.deeplearning4j.nn with parameters of type WeightInit

Modifier and Type	Method and Description
static org.nd4j.linalg.api.ndarray.INDArray	WeightInitUtil.initWeights(int nIn, int nOut, WeightInit initScheme, org.nd4j.linalg.api.activation.ActivationFunction act, org.apache.commons.math3.distribution.RealDistribution dist) Initializes a matrix with the given weight initialization scheme

Uses of WeightInit in org.deeplearning4j.nn.conf

Fields in org.deeplearning4j.nn.conf declared as WeightInit

Modifier and Type	Field and Description
protected WeightInit	NeuralNetConfiguration.weightInit

Methods in org.deeplearning4j.nn.conf that return WeightInit

Modifier and Type	Method and Description
WeightInit	NeuralNetConfiguration.getWeightInit()

Methods in org.deeplearning4j.nn.conf with parameters of type WeightInit

Modifier and Type	Method and Description
void	NeuralNetConfiguration.setWeightInit(WeightInit weightInit)
NeuralNetConfiguration.Builder	NeuralNetConfiguration.Builder.weightInit(WeightInit weightInit)

Constructors in org.deeplearning4j.nn.conf with parameters of type WeightInit

Constructor and Description

NeuralNetConfiguration(float sparsity, boolean useAdaGrad, float lr, int k, float corruptionLevel, int numIterations, float momentum, float l2, boolean useRegularization, Map<Integer,Float> momentumAfter, int resetAdaGradIterations, float dropOut, boolean applySparsity, WeightInit weightInit, NeuralNetwork.OptimizationAlgorithm optimizationAlgo, org.nd4j.linalg.lossfunctions.LossFunctions.LossFunction lossFunction, int renderWeightsEveryNumEpochs, boolean concatBiases, boolean constrainGradientToUnitNorm, org.apache.commons.math3.random.RandomGenerator rng, org.apache.commons.math3.distribution.RealDistribution dist, long seed, int nIn, int nOut, org.nd4j.linalg.api.activation.ActivationFunction activationFunction, RBM.VisibleUnit visibleUnit, RBM.HiddenUnit hiddenUnit, NeuralNetConfiguration.ActivationType activationType, int[] weightShape, int[] filterSize, int numFeatureMaps, int[] stride, int[] featureMapSize, int numInFeatureMaps)