Examples of DL4J's Keras model import syntax (assumes Keras Functional API models and DL4J ComputationGraph)

KerasModelImportExample.java

package org.deeplearning4j.nn.modelimport.keras;

import org.deeplearning4j.nn.api.Layer;
import org.deeplearning4j.nn.conf.ComputationGraphConfiguration;
import org.deeplearning4j.nn.graph.ComputationGraph;
import org.deeplearning4j.nn.multilayer.MultiLayerNetwork;
import org.nd4j.linalg.api.ndarray.INDArray;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;

import java.util.HashMap;
import java.util.List;
import java.util.Map;

public class KerasImportVgg16 {

    private static final Logger log = LoggerFactory.getLogger(KerasImportVgg16.class);

    public static void main(String[] args) throws Exception {
        String modelJsonFilename = "PATH TO EXPORTED JSON FILE";
        String weightsHdf5Filename = "PATH TO EXPORTED WEIGHTS HDF5 ARCHIVE";
        String modelHdf5Filename = "PATH TO EXPORTED FULL MODEL HDF5 ARCHIVE";
        boolean enforceTrainingConfig = false;  //Controls whether unsupported training-related configs
                                                //will throw an exception or just generate a warning.

        /* Import VGG 16 model from separate model config JSON and weights HDF5 files.
         * Will not include loss layer or training configuration.
         */
        // Static helper from KerasModelImport
        ComputationGraph model = KerasModelImport.importKerasModelAndWeights(modelJsonFilename, weightsHdf5Filename, enforceTrainingConfig);

        // KerasModel builder pattern
        model = new KerasModel.ModelBuilder()
                .modelJsonFilename(modelJsonFilename)
                .weightsHdf5Filename(weightsHdf5Filename)
                .enforceTrainingConfig(enforceTrainingConfig)
                .buildModel()
                .getComputationGraph();

        /* Import VGG 16 model from full model HDF5 file. Includes loss layer, if any. */
        // Static helper from KerasModelImport
        model = KerasModelImport.importKerasModelAndWeights(modelHdf5Filename, enforceTrainingConfig);

        // KerasModel builder pattern
        model = new KerasModel.ModelBuilder()
                .modelHdf5Filename(modelHdf5Filename)
                .enforceTrainingConfig(enforceTrainingConfig)
                .buildModel()
                .getComputationGraph();

        /* Import VGG 16 model config from model config JSON. Will not include loss
         * layer or training configuration.
         */
        // Static helper from KerasModelImport
        ComputationGraphConfiguration config = KerasModelImport.importKerasModelConfiguration(modelJsonFilename, enforceTrainingConfig);

        // KerasModel builder pattern
        config = new KerasModel.ModelBuilder()
                .modelJsonFilename(modelJsonFilename)
                .enforceTrainingConfig(enforceTrainingConfig)
                .buildModel()
                .getComputationGraphConfiguration();
    }
}