Package org.encog.neural.networks.training.propagation.quick

Examples of org.encog.neural.networks.training.propagation.quick.QuickPropagation

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      if( kFold>0 ) {
        trainingData = this.wrapTrainingData(trainingData);
      }

      MLTrain train = new QuickPropagation((BasicNetwork) file.getObject(),
          trainingData, learningRate);
     
      if( kFold>0 ) {
        train = this.wrapTrainer(trainingData,train,kFold);
      }
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    final ParamsHolder holder = new ParamsHolder(args);

    final double learningRate = holder.getDouble(
        MLTrainFactory.PROPERTY_LEARNING_RATE, false, 2.0);
   
    return new QuickPropagation((BasicNetwork) method, training, learningRate);
  }
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    final ParamsHolder holder = new ParamsHolder(args);

    final double learningRate = holder.getDouble(
        MLTrainFactory.PROPERTY_LEARNING_RATE, false, 2.0);
   
    return new QuickPropagation((BasicNetwork) method, training, learningRate);
  }
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Related Classes of org.encog.neural.networks.training.propagation.quick.QuickPropagation

  • org.encog.EncogError
  • org.encog.ml.factory.train.QuickPropFactory
  • org.encog.neural.flat.train.prop.TrainFlatNetworkQPROP
  • org.encog.neural.networks.training.propagation.TrainingContinuation
  • org.encog.neural.networks.training.TrainingError
  • org.encog.workbench.process.TrainBasicNetwork
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