ocr/handwriting_line_recognition.py [449:455]:
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
        if test_loss < best_test_loss:
            print("Saving network, previous best test loss {:.6f}, current test loss {:.6f}".format(best_test_loss, test_loss))
            net.save_parameters(os.path.join(checkpoint_dir, checkpoint_name))
            best_test_loss = test_loss

        if e % print_every_n == 0 and e > 0:
            print("Epoch {0}, train_loss {1:.6f}, test_loss {2:.6f}".format(e, train_loss, test_loss))
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -



ocr/paragraph_segmentation_dcnn.py [202:207]:
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
        if test_loss < best_test_loss:
            print("Saving network, previous best test loss {:.6f}, current test loss {:.6f}".format(best_test_loss, test_loss))
            net.save_parameters(os.path.join(checkpoint_dir, checkpoint_name))
            best_test_loss = test_loss
        if e % print_every_n == 0 and e > 0:
            print("Epoch {0}, train_loss {1:.6f}, test_loss {2:.6f}".format(e, train_loss, test_loss))
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -