title: How do i store and load trained data in deeplearning4j?
body: <p>deeplearning4j : How can I store/save a trained model on persistence level and load it back when an ad-hoc request comes to evaluate the deep learning model?</p>
  
  <pre><code>        DataNormalization normalizer = new NormalizerStandardize();
          normalizer.fit(trainingData);           //Collect the statistics (mean/stdev) from the training data. This does not modify the input data
          normalizer.transform(trainingData); 
  
          //run the model
          MultiLayerNetwork model = new MultiLayerNetwork(conf);
          model.init();
          model.setListeners(new ScoreIterationListener(100));
  
          for( int i=0; i&lt;epochs; i++ ) {
              model.fit(trainingData);
          }
  </code></pre>
  
  <p><strong>I need to store the trained model. How can I do this? With which Api?</strong></p>
  
  <pre><code>        //evaluate the model on the test set
          Evaluation eval = new Evaluation(3);
          INDArray output = model.output(testData.getFeatures());
  
          eval.eval(testData.getLabels(), output);
          log.info(eval.stats());    
  </code></pre>