GNRS 558 EXAM SCRIPT FINAL PAPER 2026
COMPLETE QUESTIONS AND ANSWERS REVIEW
▶ Which of the following is NOT an Al deep learning framework?
A. TensorFlow
B. Scikit-learn
C. Pytorch
D. Caffe - Answer: B
▶ Which of the following statements is true about classification models and
regression models in machine learning?
A. For regression problems, the output variables are discrete values. For
classification problems, the output variables are continuous.
B. The most commonly used indicators for evaluating regression and
classification problems are the accuracy and the recall rate.
C. Overfitting may occur in both regression and classification problems.
D. Logistic regression is a typical regression model. - Answer: C
▶ Which of the following are used in TensorFlow to describe the
computation process?
A. Parameter
B. Session
C. Data flow
D. Tensor - Answer: C
▶ Which of the following is NOT a characteristic of PyTorch?
A. Python first
B. Easy to debug
C. Extensive ecosystem
D. Default use of static maps - Answer: D
▶ Which of the following statements is true about the training of large
models?
A. Foundation models cannot be directly deployed.
B. The pre-training of large models requires a large amount of high-quality
data.
C. Unlabeled data used in the pre-training phase of large models must be
used in the fine-tuning phase.
COMPLETE QUESTIONS AND ANSWERS REVIEW
▶ Which of the following is NOT an Al deep learning framework?
A. TensorFlow
B. Scikit-learn
C. Pytorch
D. Caffe - Answer: B
▶ Which of the following statements is true about classification models and
regression models in machine learning?
A. For regression problems, the output variables are discrete values. For
classification problems, the output variables are continuous.
B. The most commonly used indicators for evaluating regression and
classification problems are the accuracy and the recall rate.
C. Overfitting may occur in both regression and classification problems.
D. Logistic regression is a typical regression model. - Answer: C
▶ Which of the following are used in TensorFlow to describe the
computation process?
A. Parameter
B. Session
C. Data flow
D. Tensor - Answer: C
▶ Which of the following is NOT a characteristic of PyTorch?
A. Python first
B. Easy to debug
C. Extensive ecosystem
D. Default use of static maps - Answer: D
▶ Which of the following statements is true about the training of large
models?
A. Foundation models cannot be directly deployed.
B. The pre-training of large models requires a large amount of high-quality
data.
C. Unlabeled data used in the pre-training phase of large models must be
used in the fine-tuning phase.