Create NLP.java

sidra_chain_integration/project/sidra_nexus/src/main/java/com/sidra/NLP.java

@@ -0,0 +1,41 @@
+package com.sidra;
+
+import org.deeplearning4j.nn.conf.NeuralNetConfiguration;
+import org.deeplearning4j.nn.conf.layers.LSTM;
+import org.deeplearning4j.nn.conf.layers.RnnOutputLayer;
+import org.deeplearning4j.nn.multilayer.MultiLayerNetwork;
+import org.deeplearning4j.nn.weights.WeightInit;
+import org.nd4j.linalg.activations.Activation;
+import org.nd4j.linalg.dataset.api.iterator.DataSetIterator;
+import org.nd4j.linalg.lossfunctions.LossFunctions;
+
+public class NLP {
+    public static void main(String[] args) {
+        // Set up a neural network for NLP
+        NeuralNetConfiguration config = new NeuralNetConfiguration.Builder()
+              .seed(42)
+              .weightInit(WeightInit.XAVIER)
+              .updater(new Nesterovs(0.01))
+              .list()
+              .layer(new LSTM.Builder()
+                      .nIn(100)
+                      .nOut(100)
+                      .activation(Activation.TANH)
+                      .build())
+              .layer(new RnnOutputLayer.Builder(LossFunctions.LossFunction.MCXENT)
+                      .activation(Activation.SOFTMAX)
+                      .nIn(100)
+                      .nOut(10)
+                      .build())
+              .pretrain(false)
+              .backprop(true)
+              .build();
+
+        MultiLayerNetwork model = new MultiLayerNetwork(config);
+        model.init();
+
+        // Train the model
+        DataSetIterator iterator = new DataSetIterator();
+        model.fit(iterator);
+    }
+}