# 모델 학습 과정 표시 fig, loss_ax = plt.subplots() acc_ax = loss_ax.twinx() loss_ax.plot(hist.history['loss'], 'y', label='train loss') loss_ax.plot(hist.history['val_loss'], 'r', label='val loss') acc_ax.plot(hist.history['acc'], 'b', label='train acc') acc_ax.plot(hist.history['val_acc'], 'g', label='val acc') loss_ax.set_xlabel('epoch') loss_ax.set_ylabel('loss') acc_ax.set_ylabel('accuracy') loss_a..