code: public static ComputationGraph importKerasModelAndWeights(String modelJsonFilename, String weightsHdf5Filename,
                                                                boolean enforceTrainingConfig)
              throws IOException, InvalidKerasConfigurationException, UnsupportedKerasConfigurationException {
          KerasModel kerasModel = new KerasModel().modelBuilder().modelJsonFilename(modelJsonFilename)
                  .enforceTrainingConfig(false)
                  .weightsHdf5FilenameNoRoot(weightsHdf5Filename).enforceTrainingConfig(enforceTrainingConfig)
                  .buildModel();
          return kerasModel.getComputationGraph();
      }
docs: Load Keras (Functional API) Model for which the configuration and weights were
  saved separately using calls to model.to_json() and model.save_weights(...).
  
  @param modelJsonFilename     path to JSON file storing Keras Model configuration
  @param weightsHdf5Filename   path to HDF5 archive storing Keras model weights
  @param enforceTrainingConfig whether to enforce training configuration options
  @return ComputationGraph
  @throws IOException IO exception
  @see ComputationGraph