How to use

WeightInit

in

org.deeplearning4j.nn.weights

@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();