Class 11 Artificial Intelligence — Chapter 5: Introduction to Deep Learning
6 practice questions · 2 Easy · 2 Medium · 2 Hard
Practise Class 11 Artificial Intelligence Chapter 5, "Introduction to Deep Learning", with 6 NCERT-aligned multiple-choice questions. The set is split into 2 Easy, 2 Medium and 2 Hard questions, so you can warm up on the fundamentals and then push into the exam-level problems that separate top scorers in CBSE Board exams.
"Introduction to Deep Learning" is one of the chapters where core AI concepts, ethics and applied reasoning really pays off. Each MCQ on this chapter is timed and uses exam-grade marking (+2 correct, −1 wrong, 0 skipped), training the same accuracy-under-pressure that real papers demand. Every question carries a short explanation, so a wrong answer becomes a quick lesson rather than a dead end — the fastest way to close gaps before a test.
Use this chapter as targeted revision: attempt the Easy set first to confirm your basics on Introduction to Deep Learning, then move to Medium and Hard to test application and problem-solving. Your accuracy, streaks and XP save automatically, and the chapter feeds into your overall Class 11 Artificial Intelligence mastery score. A few sample questions are shown below; sign in free to practise all 6.
Sample questions
Deep learning uses:
Many hidden layers (hence 'deep').
Common activation function:
ReLU(x) = max(0,x).
Backpropagation is used for:
Chain rule computes gradients efficiently.
Introduction to Deep Learning — FAQs
What does Class 11 Artificial Intelligence Chapter 5 (Introduction to Deep Learning) cover on XamBaaz?+
It covers 6 NCERT-aligned MCQs on "Introduction to Deep Learning" — 2 Easy, 2 Medium and 2 Hard — each with a timed quiz and an instant explanation, suitable for CBSE Board exams.
Are these "Introduction to Deep Learning" questions free to practise?+
Yes — sign in with Google to practise "Introduction to Deep Learning" free. Full unlimited access is ₹999/year (limited-time launch price), with no per-chapter charges.
How should I revise "Introduction to Deep Learning" for the exam?+
Start with the Easy quiz to confirm your fundamentals, then attempt Medium and Hard for application-level practice. Review each explanation, retry the questions you miss, and track your accuracy on this chapter until it is consistently high.
Practise all 6 questions free
Timed quizzes, instant scoring, streaks and XP. Sign in with Google — no card needed.
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