nerdexam
Huawei

H13-311_V3.5 · Question #224

Which of the following are the characteristics of TensorFlow? (Multiple choice)

The correct answer is A. Open source B. Convenience C. Mature D. Flexible. All four options describe genuine characteristics of TensorFlow, Google's machine learning framework. It is open source (A), released under the Apache 2.0 license, making it freely available and community-driven. It offers convenience (B) through high-level APIs like Keras that…

Deep Learning Basics

Question

Which of the following are the characteristics of TensorFlow? (Multiple choice)

Options

  • AOpen source
  • BConvenience
  • CMature
  • DFlexible

How the community answered

(57 responses)
  • A
    100% (57)

Explanation

All four options describe genuine characteristics of TensorFlow, Google's machine learning framework. It is open source (A), released under the Apache 2.0 license, making it freely available and community-driven. It offers convenience (B) through high-level APIs like Keras that abstract complex math, and it is mature (C) having been publicly released in 2015 with a large ecosystem, extensive documentation, and production-proven stability. It is also flexible (D), supporting deployment across CPUs, GPUs, TPUs, mobile devices, and the web. Since every option is correct, there are no distractors here - this question tests whether you know that TensorFlow's strengths span licensing, usability, longevity, and portability simultaneously.

Memory tip: Use the acronym OCMF - Open, Convenient, Mature, Flexible - or think of TensorFlow as a "fully stocked toolkit": open to all, convenient to use, battle-tested over years, and flexible enough for any hardware.

Topics

#TensorFlow#Deep Learning Frameworks#Open Source Tools#Framework Characteristics

Community Discussion

No community discussion yet for this question.

Full H13-311_V3.5 Practice