Test Your Knowledge of TensorFlow
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Questions and Answers

Which programming languages can TensorFlow be used in?

  • Python and JavaScript
  • Python and Java
  • JavaScript and Java
  • Python and C++ (correct)
  • When was the initial version of TensorFlow released?

  • 2011
  • 2019
  • 2015 (correct)
  • 2021
  • What was the name of the machine learning system developed by Google Brain before TensorFlow?

  • Google Brain
  • DistBelief (correct)
  • Alphabet
  • Apache
  • Which team developed TensorFlow?

    <p>Google Brain team</p> Signup and view all the answers

    What is the main focus of TensorFlow?

    <p>Training and inference of deep neural networks</p> Signup and view all the answers

    Which license was the initial version of TensorFlow released under?

    <p>Apache License 2.0</p> Signup and view all the answers

    Which company developed the initial version of TensorFlow?

    <p>Google</p> Signup and view all the answers

    Which programming language(s) can TensorFlow be used in?

    <p>Python</p> Signup and view all the answers

    What is the main focus of TensorFlow?

    <p>Machine learning and artificial intelligence</p> Signup and view all the answers

    Study Notes

    TensorFlow Overview

    • TensorFlow can be used in multiple programming languages, including Python, C++, Java, and Go.

    History of TensorFlow

    • The initial version of TensorFlow was released in 2015.

    PreTensorFlow Development

    • Before TensorFlow, Google Brain developed a machine learning system called DistBelief.

    Development Team

    • TensorFlow was developed by the Google Brain team.

    Focus of TensorFlow

    • The main focus of TensorFlow is on large-scale deep learning and machine learning.

    License and Development

    • The initial version of TensorFlow was released under the Apache 2.0 open-source license.
    • The initial version of TensorFlow was developed by Google.

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    Quiz Team

    Description

    Test your knowledge of TensorFlow with this quiz! Explore its features, applications, and its development by the Google Brain team. See how well you understand this popular software library for machine learning and artificial intelligence.

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