Package org.encog.neural.networks.training.concurrent.jobs

Examples of org.encog.neural.networks.training.concurrent.jobs.TrainingJob

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    ConcurrentTrainingManager ctm = ConcurrentTrainingManager.getInstance();
    ctm.clearPerformers();
    ctm.detectPerformers(splitCores);
   
    // create a RPROP job
    TrainingJob job1 = new RPROPJob(
        XOR.createUnTrainedXOR(),
        XOR.createXORDataSet(),true);
    job1.getStrategies().add(new EndMaxErrorStrategy(0.01));
    ctm.addTrainingJob(job1);
   
    // create a BPROP job
    TrainingJob job2 = new BPROPJob(
        XOR.createUnTrainedXOR(),
        XOR.createXORDataSet(),true, 0.07, 0.07);
    job2.getStrategies().add(new EndMaxErrorStrategy(0.01));
    ctm.addTrainingJob(job2);
   
    ctm.start();
    ctm.join();
   
    XOR.verifyXOR(job1.getNetwork(), 0.1);
    XOR.verifyXOR(job2.getNetwork(), 0.1); 
  }
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    ConcurrentTrainingManager ctm = ConcurrentTrainingManager.getInstance();
    ctm.clearPerformers();
    ctm.detectPerformers(splitCores);
   
    // create a RPROP job
    TrainingJob job1 = new RPROPJob(
        XOR.createUnTrainedXOR(),
        XOR.createXORDataSet(),true);
    job1.getStrategies().add(new EndMaxErrorStrategy(0.01));
    ctm.addTrainingJob(job1);
   
    // create a BPROP job
    TrainingJob job2 = new BPROPJob(
        XOR.createUnTrainedXOR(),
        XOR.createXORDataSet(),true, 0.07, 0.07);
    job2.getStrategies().add(new EndMaxErrorStrategy(0.01));
    ctm.addTrainingJob(job2);
   
    ctm.start();
    ctm.join();
   
    XOR.verifyXOR(job1.getNetwork(), 0.1);
    XOR.verifyXOR(job2.getNetwork(), 0.1); 
  }
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Related Classes of org.encog.neural.networks.training.concurrent.jobs.TrainingJob

  • org.encog.ml.train.strategy.end.EndTrainingStrategy
  • org.encog.neural.networks.training.concurrent.TestConcurrent
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