How to use

org.deeplearning4j.nn.conf.distribution.GaussianDistribution

constructor

.layer(new DenseLayer.Builder()
    .nOut(500)
    .dist(new GaussianDistribution(0, 0.005))
    .activation(Activation.RELU)
    .build())
.layer(new DenseLayer.Builder()
    .nOut(500)
    .dist(new GaussianDistribution(0, 0.005))
    .activation(Activation.RELU)
    .build())

.layer(8,conv3x3("cnn5", 256, nonZeroBias))
.layer(9, maxPool("maxpool3", new int[]{3,3}))
.layer(10, fullyConnected("ffn1", 4096, nonZeroBias, dropOut, new GaussianDistribution(0, 0.005)))
.layer(11, fullyConnected("ffn2", 4096, nonZeroBias, dropOut, new GaussianDistribution(0, 0.005)))
.layer(12, new OutputLayer.Builder(LossFunctions.LossFunction.NEGATIVELOGLIKELIHOOD)
    .name("output")

return new GaussianDistribution(m, s);

                .name("maxpool3").build())
.layer(8, new DenseLayer.Builder().name("ffn1").nIn(256).nOut(4096)
        .dist(new GaussianDistribution(0, 0.005)).biasInit(nonZeroBias).dropOut(dropOut)
        .build())
.layer(9, new DenseLayer.Builder().name("ffn2").nOut(4096)
        .dist(new GaussianDistribution(0, 0.005)).biasInit(nonZeroBias).dropOut(dropOut)
        .build())
.layer(10, new OutputLayer.Builder(LossFunctions.LossFunction.NEGATIVELOGLIKELIHOOD)