Train.scala

val conf: MultiLayerConfiguration = new NeuralNetConfiguration.Builder()
                .regularization(true).l2(2e-6)
                .seed(luckyseed)                                               
                .iterations(20)
                .list(3)
                ...
                .build();

val iter: DataSetIterator = new GDataSetIteratorTrain(...)

while( iter.hasNext() ){
                val eachbatch: DataSet = iter.next()                
                model.fit(eachbatch)
}

val coefficient_bin = "coefficient.bin"
val conf_json = "conf.json"
val fos: OutputStream = Files.newOutputStream(Paths.get(coefficient_bin))
val dos = new DataOutputStream(fos)
Nd4j.write(model.params(), dos)
dos.flush()
dos.close()
FileUtils.writeStringToFile(new File(conf_json), model.getLayerWiseConfigurations().toJson())