ITPEC FE Morning April 2022 Question 74
ITPEC FE Morning April 2022 — Question 74 of 80
Deep learning involves training neural networks on large datasets to recognize complex patterns
and improve performance over time. The correct answer describes a driver assistance system
that processes numerous images to better distinguish pedestrians from vehicles — a classic
supervised learning / computer vision use case.
Why not others:
- (a) An accelerometer triggering an airbag is threshold-based logic, not machine learning.
- (c) Automatic idling stop is a rule-based fuel efficiency mechanism, not a learned model.
- (d) Updating navigation maps via mobile network is simple data synchronization, not AI.
Key rule: Deep learning = large dataset + pattern recognition + performance improves with more data.
AI-generated — may contain errors
The original exam layout is preserved in the image so diagrams, formulas, tables, and code remain accurate.
This question comes from an official ITPEC past paper. ITPEC Practice is an independent study tool and is not affiliated with ITPEC. See the official FE past-paper collection or Report an issue.