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PyTorch Skills Test sample questions PyTorch Skills Test sample questions

PyTorch Skills Test

Topics covered

  • PyTorch Tensor
  • Modular Implementation
  • Computation in PyTorch
  • Network Models
  • Functions
  • Objects
  • Classes
  • PyTorch Model Methods
  • GPU device
  • Optimizers
  • Test Duration: 20 minutes
  • No. of Questions: 10
You can customize this test by
  • difficulty level
    Setting difficulty level of test

    Choose easy, medium or hard questions from our skill libraries to assess candidates of different experience levels.

  • multiple skills
    Combining multiple skills into one test

    Add multiple skills in a single test to create an effective assessment. Assess multiple skills together.

  • add your own questions
    Adding your own questions to the test

    Add, edit or bulk upload your own coding questions, MCQ, whiteboarding questions & more...

  • tailor-made test
    Requesting a tailor-made test

    Get a tailored assessment created with the help of our subject matter experts to ensure effective screening.

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About PyTorch Skills Test

PyTorch is developed by Facebook's AI Research lab & is known as an open-source machine learning library based on the Torch library. It is mostly used for applications like computer vision and natural language processing. PyTorch library can be used with both languages - Python as well as C++. PyTorch uses very core Python concepts such as classes, structures, and conditional loops that are a lot familiar and more intuitive to understand. It mainly uses the basic and familiar programming paradigms rather than inventing its own.

PyTorch skills test helps tech recruiters and hiring managers assess candidate's PyTorch skills. PyTorch online test is designed by experienced subject matter experts (SMEs) to evaluate and hire PyTorch expert as per the industry standards. 
 
PyTorch skills test helps to screen the candidates who possess traits as follows:
 

  • Good knowledge of various computations in PyTorch library
  • Experience with PyTorch model methods and PyTorch tensor
  • Understanding of new network models, GPU devices, and optimizers
  • Familiarity with terms like functions, objects, and classes 
 
PyTorch skills test is a secure and reliable way of candidate assessment. You can use our role-based access control feature to restrict system access based on the roles of individual users within the recruiting team. Features like window violation, image, audio & video proctoring help detect cheating during the test.
 
This test may contain MCQs (Multiple Choice Questions), MAQs (Multiple Answer Questions), Fill in the Blanks, Whiteboard Questions, Audio / Video Questions, LogicBox (AI-based Pseudo-Coding Platform), Coding Simulators, True or False Questions, etc. 

This PyTorch Skills Test is useful for hiring

  • Data Scientist
  • Deep Learning
  • Python Developer
  • Machine Learning Engineer
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