1. Use FineTuneConfiguration() to manage modifications in the model configuration:

FineTuneConfiguration fineTuneConf = new FineTuneConfiguration.Builder()
 .optimizationAlgo(OptimizationAlgorithm.STOCHASTIC_GRADIENT_DESCENT)
 .updater(new Nesterovs(5e-5))
 .activation(Activation.RELU6)
 .biasInit(0.001)
 .dropOut(0.85)
 .gradientNormalization(GradientNormalization.RenormalizeL2PerLayer)
 .l2(0.0001)
 .weightInit(WeightInit.DISTRIBUTION)
 .seed(seed)
 .build();

2. Call fineTuneConfiguration() to fine-tune the model configuration:

MultiLayerNetwork newModel = new TransferLearning.Builder(oldModel)
.fineTuneConfiguration(fineTuneConf)
.build();