PyTorch MCQ Questions And Answers - Machine Learning Libraries

PyTorch MCQs : This section focuses on "basics" of PyTorch. These Multiple Choice Questions (MCQ) should be practiced to improve the PyTorch skills required for various interviews (campus interviews, walk-in interviews, company interviews), placements, entrance exams and other competitive examinations.

1. __________ is an open source machine learning library for Python and is completely based on Torch.

A. Flask
B. PyTorch
C. PyBrain
D. CherryPy

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2. PyTorch is known for having _________ levels of abstraction.

A. 1
B. 2
C. 3
D. 4

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3. Which of the following are the advantages of PyTorch?

A. It is easy to debug and understand the code
B. It includes many layers as Torch
C. It includes lot of loss functions
D. All of the above

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4. ________ is an imperative n-dimensional array which runs on GPU.

A. Variable
B. Tensor
C. Module
D. All of the above

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5. ____________ is a package which is used to wrap a tensor.

A. extend.variable
B. autograd.variable
C. variable
D. auto.variable

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6. ______________ is a technique or way to find the linear relation between the dependent variable and the independent variable by minimizing the distance.

A. Linear Regression
B. Bilinear Regression
C. Discrete Regression
D. All of the above

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7. MSE stands for ?

A. Machine Squared Error
B. Mean Simple Error
C. Mean Squared Evaluate
D. Mean Squared Error

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8. The activation functions are basically divided into ________ types.

A. 1
B. 2
C. 3
D. 4

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9. The Conv1d and Conv2D is used to apply 1D and 2D convolution.

A. TRUE
B. FALSE
C. Can be true or false
D. Can not say

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10. The torch.cuda is a package which adds support for CUDA tensor type.

A. TRUE
B. FALSE
C. Can be true or false
D. Can not say

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