Package com.github.neuralnetworks.training.events

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

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  super(properties);
    }

    @Override
    public void train() {
  triggerEvent(new TrainingStartedEvent(this));

  stopTraining = false;

  if (getRandomInitializer() != null) {
      getRandomInitializer().initialize(getNeuralNetwork());;
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     * @see com.github.neuralnetworks.training.Trainer#train()
     * Child netwokrs are trained in sequential order. Each network has it's own Trainer.
     */
    @Override
    public void train() {
  triggerEvent(new TrainingStartedEvent(this));

  DNN<?> dnn = getNeuralNetwork();
  DeepTrainerTrainingInputProvider inputProvider = new DeepTrainerTrainingInputProvider(getTrainingInputProvider(), dnn, null);

  for (NeuralNetwork nn : dnn.getNeuralNetworks()) {
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  super(properties);
    }

    @Override
    public void train() {
  triggerEvent(new TrainingStartedEvent(this));

  stopTraining = false;

  if (getRandomInitializer() != null) {
      getRandomInitializer().initialize(getNeuralNetwork());
View Full Code Here
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     * @see com.github.neuralnetworks.training.Trainer#train()
     * Child netwokrs are trained in sequential order. Each network has it's own Trainer.
     */
    @Override
    public void train() {
  triggerEvent(new TrainingStartedEvent(this));

  DNN<?> dnn = getNeuralNetwork();

  for (NeuralNetwork nn : dnn.getNeuralNetworks()) {
      DeepTrainerTrainingInputProvider inputProvider = new DeepTrainerTrainingInputProvider(getTrainingInputProvider(), dnn, nn, getTrainingBatchSize());
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Related Classes of com.github.neuralnetworks.training.events.TrainingStartedEvent

  • com.github.neuralnetworks.training.DNNLayerTrainer
  • com.github.neuralnetworks.training.OneStepTrainer
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