code: public static MultiLayerConfiguration importKerasSequentialConfiguration(String modelJsonFilename,
                                                                               boolean enforceTrainingConfig)
              throws IOException, InvalidKerasConfigurationException, UnsupportedKerasConfigurationException {
          KerasSequentialModel kerasModel = new KerasSequentialModel().modelBuilder().modelJsonFilename(modelJsonFilename)
                  .enforceTrainingConfig(enforceTrainingConfig).buildSequential();
          return kerasModel.getMultiLayerConfiguration();
      }
docs: Load Keras Sequential model for which the configuration was saved
  separately using calls to model.to_json() and model.save_weights(...).
  
  @param modelJsonFilename     path to JSON file storing Keras Sequential model configuration
  @param enforceTrainingConfig whether to enforce training configuration options
  @return MultiLayerNetwork
  @throws IOException IO exception
  @see MultiLayerNetwork