How to use

org.deeplearning4j.nn.transferlearning.FineTuneConfiguration$Builder

constructor

FineTuneConfiguration fineTuneConf = new FineTuneConfiguration.Builder()

FineTuneConfiguration fineTuneConf = new FineTuneConfiguration.Builder()
  .updater(new Nesterovs.Builder().learningRate(3e-5).build())
  .seed(seed)

INDArray priors = Nd4j.create(priorBoxes);
FineTuneConfiguration fineTuneConf = new FineTuneConfiguration.Builder().seed(seed)
  .optimizationAlgo(OptimizationAlgorithm.STOCHASTIC_GRADIENT_DESCENT).gradientNormalization(GradientNormalization.RenormalizeL2PerLayer)
  .gradientNormalizationThreshold(1.0).updater(new Adam.Builder().learningRate(learningRate).build())

ComputationGraph vgg16 = (ComputationGraph) zooModel.initPretrained();
FineTuneConfiguration fineTuneConf = new FineTuneConfiguration.Builder()
    .updater(new Nesterovs(0.1, 0.9))
    .seed(123)

private void initBuilderIfReq() {
  if (editedConfigBuilder == null) {
    //No fine tune config has been set. One isn't required, but we need one to create the editedConfigBuilder
    //So: create an empty finetune config, which won't override anything
    //but keep the seed
    fineTuneConfiguration(new FineTuneConfiguration.Builder()
            .seed(origConfig.getDefaultConfiguration().getSeed()).build());
  }
}