Method Train

examples/read-write/train_read-write.cc:45–60

  }

  float Train(const vector<dynet::real>& input, dynet::real gold_output, SimpleSGDTrainer& trainer) {
    ComputationGraph cg;
    NewGraph(cg);

    Expression x = dynet::input(cg, {(unsigned int)input.size()}, &input);
    Expression y = dynet::input(cg, &gold_output);

    Expression h = tanh(W*x + b);
    Expression y_pred = V*h + a;
    Expression loss = squared_distance(y_pred, y);

    float return_loss = as_scalar(cg.forward(loss));
    cg.backward(loss);
    trainer.update();
    return return_loss;
  }

  float Decode(vector<dynet::real>& input) {
    ComputationGraph cg;