IPA IP 2025 Question 86
A question IPA Japan published in 令和7年度 ITパスポート試験 公開問題 問86, translated into English. ITPEC is based on the same exams.
Which of the following is the AI technology that automatically extracts the features of dogs, cats, and others from a large number of images showing animals, so that the kinds of animals can be identified?
Explanation
Deep learning — machine learning with a many-layered neural network that finds the features in data by itself.
In conventional machine learning, people decide which features to look at (ear shape, colour, size). Deep learning trains a neural network with many layers on a large amount of data, and the layers learn the features automatically: early layers respond to edges and textures, later layers to parts such as ears and faces, and the last layers to whole animals. That is why it excels at image recognition such as telling dogs from cats.
Answer (d)
Why not others:
- •(a) e-learning — studying with computers and networks; an education method, not an AI technology
- •(b) Active learning — an educational approach in which learners take part actively, through discussion and group work, rather than only listening (in machine learning the term also names a method of choosing which data to label, which does not extract features by itself)
- •(c) Adaptive learning — education that adapts the content and pace to each learner's level and progress
Key rule: Deep learning = a multi-layer neural network that extracts features automatically from large amounts of data; the other "learning" terms here are ways of educating people.
Basic Theory · AI-written, may contain errors
This question comes from the past questions IPA Japan publishes, translated into English by ITPEC Practice. ITPEC Practice is an independent study tool and is not affiliated with IPA or ITPEC. See the original paper (PDF) or Report an issue.