RandomGenerator gen = new MersenneTwister(123);
MultiLayerConfiguration encoderConf = new NeuralNetConfiguration.Builder().weightInit(WeightInit.VI)
        .layerFactory(LayerFactories.getFactory(RBM.class))
        .iterations(5)
        .lossFunction(LossFunctions.LossFunction.RECONSTRUCTION_CROSSENTROPY).rng(gen)
        .learningRate(1e-1).nIn(784).nOut(30).list(3)
        .hiddenLayerSizes(new int[]{2000, 1000, 500})
        .build();