MCQsExam.com

How does the attention mechanism in Recurrent Neural Networks improve performance in tasks such as machine translation?
  1. A-By reducing model complexity
  2. B-By focusing on relevant parts of the input sequence
  3. C-By increasing the number of parameters
  4. D-By speeding up the training process
  5. Posted By: MCQSEXAM
  6. Data Science / Recurrent Neural Networks (RNNs)
  7. The attention mechanism allows RNNs to focus on relevant parts of the input sequence, improving performance in tasks like machine translation by attending to important words or phrases.

MCQs Exam


  • Management Sciences MCQs
  • PHP
  • Dot NET
  • Algorithms and Data Structures
  • Software Engineering
  • Database Management Systems
  • Computer Networks
  • Operating Systems
  • Artificial Intelligence (AI) and Machine Learning (ML)
  • Computer Graphics
  • Cybersecurity
  • Mobile Computing
  • HTML
  • JAVA
  • Cascading Style Sheets - CSS
  • Javascript
  • MySQL
  • Jquery
  • Bootstrap
  • REACT
  • C#
  • Django

  • Islamic Study MCQs
  • PHP
  • Dot NET
  • Algorithms and Data Structures
  • Software Engineering
  • Database Management Systems
  • Computer Networks
  • Operating Systems
  • Artificial Intelligence (AI) and Machine Learning (ML)
  • Computer Graphics
  • Cybersecurity
  • Mobile Computing
  • HTML
  • JAVA
  • Cascading Style Sheets - CSS
  • Javascript
  • MySQL
  • Jquery
  • Bootstrap
  • REACT
  • C#
  • Django

  • Engineering MCQs
  • PHP
  • Dot NET
  • Algorithms and Data Structures
  • Software Engineering
  • Database Management Systems
  • Computer Networks
  • Operating Systems
  • Artificial Intelligence (AI) and Machine Learning (ML)
  • Computer Graphics
  • Cybersecurity
  • Mobile Computing
  • HTML
  • JAVA
  • Cascading Style Sheets - CSS
  • Javascript
  • MySQL
  • Jquery
  • Bootstrap
  • REACT
  • C#
  • Django