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Java example source code file (NeuralNetWorkPerformerTest.java)

This example Java source code file (NeuralNetWorkPerformerTest.java) is included in the alvinalexander.com "Java Source Code Warehouse" project. The intent of this project is to help you "Learn Java by Example" TM.

Learn more about this Java project at its project page.

Java - Java tags/keywords

baseworkperformertest, builder, configuration, dataset, irisdatafetcher, job, neuralnetconfiguration, neuralnetworkperformertest, string, test, workerperformer

The NeuralNetWorkPerformerTest.java Java example source code

/*
 *
 *  * Copyright 2015 Skymind,Inc.
 *  *
 *  *    Licensed under the Apache License, Version 2.0 (the "License");
 *  *    you may not use this file except in compliance with the License.
 *  *    You may obtain a copy of the License at
 *  *
 *  *        http://www.apache.org/licenses/LICENSE-2.0
 *  *
 *  *    Unless required by applicable law or agreed to in writing, software
 *  *    distributed under the License is distributed on an "AS IS" BASIS,
 *  *    WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 *  *    See the License for the specific language governing permissions and
 *  *    limitations under the License.
 *
 */

package org.deeplearning4j.scaleout.perform;

import static org.junit.Assume.*;

import org.canova.api.conf.Configuration;
import org.deeplearning4j.datasets.fetchers.IrisDataFetcher;
import org.deeplearning4j.nn.layers.feedforward.rbm.RBM;
import org.deeplearning4j.nn.conf.NeuralNetConfiguration;
import org.deeplearning4j.nn.conf.DeepLearningConfigurable;
import org.deeplearning4j.scaleout.job.Job;
import org.junit.Test;
import org.nd4j.linalg.dataset.DataSet;

/**
 * Created by agibsonccc on 11/27/14.
 */
public class NeuralNetWorkPerformerTest extends BaseWorkPerformerTest {
    @Test
    public void testRbm() {
        NeuralNetConfiguration conf = new NeuralNetConfiguration
                .Builder()
                .layer(new org.deeplearning4j.nn.conf.layers.RBM.Builder().nIn(4).nOut(3).build())
                .build();
        String json = conf.toJson();
        NeuralNetConfiguration conf3 = NeuralNetConfiguration.fromJson(json);
        assumeNotNull(conf3);

        Configuration conf2 = new Configuration();
        conf2.set(DeepLearningConfigurable.NEURAL_NET_CONF,json);
        conf2.set(DeepLearningConfigurable.CLASS,RBM.class.getName());
        WorkerPerformer performer = new NeuralNetWorkPerformer();
        performer.setup(conf2);
        IrisDataFetcher fetcher = new IrisDataFetcher();
        fetcher.fetch(10);
        DataSet d = fetcher.next();
        Job j = new Job(d,"1");
        assumeJobResultNotNull(performer,j);
        performer.update(j.getResult());
    }


}

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