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();
    }
}

its not working cause of modelBuilder cant be accesed from outside package

Hello,
I follow your code but it gives me error: cannot resolve the symbol KerasModelImport
Here is the Gradle file that I have modified:

apply plugin: 'com.android.application'
android {
compileSdkVersion 25
buildToolsVersion "25.0.2"

packagingOptions {
    exclude 'META-INF/DEPENDENCIES'
    exclude 'META-INF/DEPENDENCIES.txt'
    exclude 'META-INF/LICENSE'
    exclude 'META-INF/LICENSE.txt'
    exclude 'META-INF/license.txt'
    exclude 'META-INF/NOTICE'
    exclude 'META-INF/NOTICE.txt'
    exclude 'META-INF/notice.txt'
    exclude 'META-INF/INDEX.LIST'
}

defaultConfig {
    applicationId "com.example.gaurav.mtargetclient"
    minSdkVersion 15
    targetSdkVersion 25
    versionCode 1
    versionName "1.0"
    testInstrumentationRunner "android.support.test.runner.AndroidJUnitRunner"
    multiDexEnabled true
}
buildTypes {
    release {
        minifyEnabled false
        proguardFiles getDefaultProguardFile('proguard-android.txt'), 'proguard-rules.pro'
    }
}

}

repositories {
mavenLocal()
mavenCentral()
}

dependencies {
compile fileTree(dir: 'libs', include: ['*.jar'])
androidTestCompile('com.android.support.test.espresso:espresso-core:2.2.2', {
exclude group: 'com.android.support', module: 'support-annotations'
})
compile 'com.android.support:appcompat-v7:25.2.0'
compile 'com.android.support.constraint:constraint-layout:1.0.0-beta5'
testCompile 'junit:junit:4.12'

compile 'com.google.android.gms:play-services-appindexing:8.4.0'
compile 'com.qozix:tileview:2.2.6'

compile 'org.deeplearning4j:deeplearning4j-core:0.7.2'
compile 'org.nd4j:nd4j-native:0.7.2'
compile 'org.nd4j:nd4j-native:0.7.2:android-x86'
compile 'org.nd4j:nd4j-native:0.7.2:android-arm'

}

Please tell me how to resolve this error.

Thanks

Im having the same Issue here: "java: org.deeplearning4j.nn.modelimport.keras.KerasModel.ModelBuilder is not public in org.deeplearning4j.nn.modelimport.keras.KerasModel; cannot be accessed from outside package"
Any help? Im trying to import a keras Model (sequentiel works)