jumpingfella

public class RecurrentNets {

    private static final double learningRate = 0.1;
    private static final int seed = 12345;

    private static final int nHidden = 200;
    private static final int truncatedBPTTLength = 22;

    public static MultiLayerNetwork buildLstmNetworks(int nIn, int nOut) {
        //Set up network configuration:

jumpingfella

import org.deeplearning4j.nn.conf.GradientNormalization;
import org.deeplearning4j.nn.conf.MultiLayerConfiguration;
import org.deeplearning4j.nn.conf.layers.GravesLSTM;
import org.deeplearning4j.nn.conf.layers.RnnOutputLayer;
import org.deeplearning4j.nn.api.OptimizationAlgorithm;
import org.deeplearning4j.nn.conf.NeuralNetConfiguration;
import org.deeplearning4j.nn.multilayer.MultiLayerNetwork;
import org.deeplearning4j.nn.weights.WeightInit;
import org.nd4j.linalg.activations.Activation;
import org.nd4j.linalg.api.ndarray.INDArray;