How to use
WeightInit
in
org.deeplearning4j.nn.weights

Best Java code snippets using org.deeplearning4j.nn.weights.WeightInit (Showing top 4 results out of 315)

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@Test
public void testWeightInit() throws Exception {
 List<WeightInit> skipWeightInits = new ArrayList<>();
 skipWeightInits.add(WeightInit.IDENTITY);
 for (WeightInit wi : WeightInit.values()) {
  if (skipWeightInits.contains(wi)) {
   continue;
  }
  NeuralNetConfiguration conf = new NeuralNetConfiguration();
  conf.setWeightInit(wi);
  checkAppliedParameters(conf, wi, BaseLayer::getWeightInit);
 }
}

if (nParams > 0) {
  WeightInit wi = bl.getWeightInit();
  String str = wi.toString();
  if (wi == WeightInit.DISTRIBUTION) {
    str += bl.getDist();

if (nParams > 0) {
  WeightInit wi = bl.getWeightInit();
  String str = wi.toString();
  if (wi == WeightInit.DISTRIBUTION) {
    str += bl.getDist();

if (nParams > 0) {
  WeightInit wi = bl.getWeightInit();
  String str = wi.toString();
  if (wi == WeightInit.DISTRIBUTION) {
    str += bl.getDist();

Javadoc

Weight initialization scheme

DISTRIBUTION: Sample weights from a provided distribution

ZERO: Generate weights as zeros

SIGMOID_UNIFORM: A version of XAVIER_UNIFORM for sigmoid activation functions. U(-r,r) with r=4*sqrt(6/(fanIn + fanOut))

UNIFORM: Uniform U[-a,a] with a=1/sqrt(fanIn). "Commonly used heuristic" as per Glorot and Bengio 2010

XAVIER: As per Glorot and Bengio 2010: Gaussian distribution with mean 0, variance 2.0/(fanIn + fanOut)

XAVIER_UNIFORM: As per Glorot and Bengio 2010: Uniform distribution U(-s,s) with s = sqrt(6/(fanIn + fanOut))

XAVIER_FAN_IN: Similar to Xavier, but 1/fanIn -> Caffe originally used this.

XAVIER_LEGACY: Xavier weight init in DL4J up to 0.6.0. XAVIER should be preferred.

RELU: He et al. (2015), "Delving Deep into Rectifiers". Normal distribution with variance 2.0/nIn

RELU_UNIFORM: He et al. (2015), "Delving Deep into Rectifiers". Uniform distribution U(-s,s) with s = sqrt(6/fanIn)

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How to useWeightInit in org.deeplearning4j.nn.weights

Best Java code snippets using org.deeplearning4j.nn.weights.WeightInit (Showing top 4 results out of 315)

How to use
WeightInit
in
org.deeplearning4j.nn.weights