1. Configure the neural network using ComputationGraph, as shown here:

ComputationGraphConfiguration.GraphBuilder builder = new NeuralNetConfiguration.Builder()
 .seed(RANDOM_SEED)
 .optimizationAlgo(OptimizationAlgorithm.STOCHASTIC_GRADIENT_DESCENT)
 .weightInit(WeightInit.XAVIER)
 .updater(new Adam())
 .dropOut(0.9)
 .graphBuilder()
 .addInputs("trainFeatures");

2. Configure the LSTM layer:

new LSTM.Builder()
 .nIn(INPUTS)
 .nOut(LSTM_LAYER_SIZE)
 .forgetGateBiasInit(1)
 .activation(Activation.TANH)
 .build(),"trainFeatures");

3. Add the LSTM layer to the ComputationGraph configuration:

builder.addLayer("L1", new LSTM.Builder()
 .nIn(86)
 .nOut(200)
 .forgetGateBiasInit(1)
 .activation(Activation.TANH)
 .build(),"trainFeatures");