Package com.github.neuralnetworks.calculation.LayerOrderStrategy

Examples of com.github.neuralnetworks.calculation.LayerOrderStrategy.ConnectionCandidate

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                     // are
                     // interlinked)
      convCalculatedLayers.add(nn.getOutputLayer());

      for (int i = 0; i < connections.size(); i++) {
    ConnectionCandidate c = connections.get(i);
    chunk.add(c.connection);

    if (i == connections.size() - 1 || connections.get(i + 1).target != c.target) {
        current = c.target;
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    protected void calculate(ValuesProvider valuesProvider, List<ConnectionCandidate> connections, NeuralNetwork nn) {
  if (connections.size() > 0) {
      List<Connections> chunk = new ArrayList<>();

      for (int i = 0; i < connections.size(); i++) {
    ConnectionCandidate c = connections.get(i);
    chunk.add(c.connection);

    if (i == connections.size() - 1 || connections.get(i + 1).target != c.target) {
        ConnectionCalculator cc = getConnectionCalculator(c.target);
        if (cc != null) {
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    protected void calculate(ValuesProvider valuesProvider, List<ConnectionCandidate> connections, NeuralNetwork nn) {
  if (connections.size() > 0) {
      List<Connections> chunk = new ArrayList<>();

      for (int i = 0; i < connections.size(); i++) {
    ConnectionCandidate c = connections.get(i);
    chunk.add(c.connection);

    if (i == connections.size() - 1 || connections.get(i + 1).target != c.target) {
        ConnectionCalculator cc = getConnectionCalculator(c.target);
        if (cc != null) {
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                     // are
                     // interlinked)
      convCalculatedLayers.add(nn.getOutputLayer());

      for (int i = 0; i < connections.size(); i++) {
    ConnectionCandidate c = connections.get(i);
    chunk.add(c.connection);

    if (i == connections.size() - 1 || connections.get(i + 1).target != c.target) {
        current = c.target;
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Related Classes of com.github.neuralnetworks.calculation.LayerOrderStrategy.ConnectionCandidate

  • com.github.neuralnetworks.calculation.LayerCalculatorBase
  • com.github.neuralnetworks.training.TrainerFactory
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