Package com.github.neuralnetworks.training.events

Examples of com.github.neuralnetworks.training.events.MiniBatchFinishedEvent

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  int batch = 0;
  TrainingInputData input = null;
  while ((input = getTrainingInputProvider().getNextInput()) != null && !stopTraining) {
      learnInput(input, batch++);
      triggerEvent(new MiniBatchFinishedEvent(this, input, null, batch));
  }

  triggerEvent(new TrainingFinishedEvent(this));
    }
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    if (getOutputError() != null) {
        getOutputError().addItem(results.getValues(n.getOutputLayer()), input.getTarget());
    }

    triggerEvent(new MiniBatchFinishedEvent(this, input, results, null));
      }
     
      triggerEvent(new TestingFinishedEvent(this));
  }
    }
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  for (int i = 0, batch = 0; i < getEpochs() * getTrainingInputProvider().getInputSize() && !stopTraining; i += getTrainingBatchSize(), batch++) {
      TrainingInputData input = getInput();
      getTrainingInputProvider().populateNext(input);
      learnInput(batch);
      triggerEvent(new MiniBatchFinishedEvent(this, input, null, batch));

      if (i % getTrainingInputProvider().getInputSize() == 0) {
    triggerEvent(new EpochFinishedEvent(this, input, null, i / getTrainingInputProvider().getInputSize()));
      }
  }
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    if (oe != null) {
        oe.addItem(results.get(n.getOutputLayer()), input.getTarget());
    }
   
    triggerEvent(new MiniBatchFinishedEvent(this, input, results, null));
      }
     
      triggerEvent(new TestingFinishedEvent(this));
  }
    }
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Related Classes of com.github.neuralnetworks.training.events.MiniBatchFinishedEvent

  • com.github.neuralnetworks.training.OneStepTrainer
  • com.github.neuralnetworks.training.Trainer
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