Package com.github.neuralnetworks.training.backpropagation

Examples of com.github.neuralnetworks.training.backpropagation.MSEDerivative

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  p.setParameter(Constants.TESTING_INPUT_PROVIDER, testingSet);
  p.setParameter(Constants.LEARNING_RATE, learningRate);
  p.setParameter(Constants.MOMENTUM, momentum);
  p.setParameter(Constants.L1_WEIGHT_DECAY, l1weightDecay);
  p.setParameter(Constants.L2_WEIGHT_DECAY, l2weightDecay);
  p.setParameter(Constants.OUTPUT_ERROR_DERIVATIVE, new MSEDerivative());
  p.setParameter(Constants.OUTPUT_ERROR, error);
  p.setParameter(Constants.RANDOM_INITIALIZER, rand);

  return p;
    }
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  p.setParameter(Constants.TESTING_INPUT_PROVIDER, testingSet);
  p.setParameter(Constants.LEARNING_RATE, learningRate);
  p.setParameter(Constants.MOMENTUM, momentum);
  p.setParameter(Constants.L1_WEIGHT_DECAY, l1weightDecay);
  p.setParameter(Constants.L2_WEIGHT_DECAY, l2weightDecay);
  p.setParameter(Constants.OUTPUT_ERROR_DERIVATIVE, new MSEDerivative());
  p.setParameter(Constants.WEIGHT_UDPATES, weightUpdates(nn));
  p.setParameter(Constants.OUTPUT_ERROR, error);
  p.setParameter(Constants.RANDOM_INITIALIZER, rand);
  p.setParameter(Constants.TRAINING_BATCH_SIZE, trainingBatchSize);
  p.setParameter(Constants.TEST_BATCH_SIZE, testBatchSize);
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Related Classes of com.github.neuralnetworks.training.backpropagation.MSEDerivative

  • com.github.neuralnetworks.training.TrainerFactory
  • com.github.neuralnetworks.util.Matrix
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