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udpipe/udpipe.cpp  view on Meta::CPAN

  // Allocate space for trainer_data if required)
  workspace::trainer_data none_trainer_data;
  if (TRAINER::need_trainer_data) {
    while (network.weights[0].size() > w.weights_trainer[0].size()) w.weights_trainer[0].emplace_back(network.weights[0].front().size());
    while (network.weights[1].size() > w.weights_trainer[1].size()) w.weights_trainer[1].emplace_back(outcomes_size);
  }

  // Compute error vector
  w.error_outcomes.resize(outcomes_size);
  for (unsigned i = 0; i < outcomes_size; i++)
    w.error_outcomes[i] = (i == required_outcome) - w.outcomes[i];

  // Backpropagate error_outcomes to error_hidden
  w.error_hidden.assign(hidden_layer_size, 0);
  for (auto&& i : w.hidden_kept)
    for (unsigned j = 0; j < outcomes_size; j++)
      w.error_hidden[i] += network.weights[1][i][j] * w.error_outcomes[j];
  // Dropout normalization
  if (dropout_hidden) {
    float dropout_factor = 1. / (1. - dropout_hidden);
    for (auto&& i : w.hidden_kept)