問86
頻出度★★☆
動物が写っている大量の画像から犬や猫などの特徴を自動的に抽出して, 動物の種類を識別できるようにする AI の技術はどれか。
令和7年度 ITパスポート試験 問86
テクノロジ系基礎理論 › 情報に関する理論
This question's explanation and your answers so far.
解説
問 86
Incorrectア
e-learning refers to a mechanism (a form of education and training) in which people learn by using computers and the Internet; it is not a technology by which an AI extracts features.
Incorrectイ
Active learning refers to a learning method for people in which learners participate actively and proactively; it is an educational term, not an AI technology that automatically extracts features from images.
Incorrectウ
Adaptive learning refers to a learning method for people that adjusts the materials or difficulty according to each learner’s level of understanding and progress; it is not an AI technology that performs feature extraction on images.
- エ
正解 Choice エ, deep learning, is correct. Deep learning is a machine learning method that uses multi-layer neural networks. Its biggest characteristic is that it can automatically extract and learn the features (feature values) that distinguish dogs from cats, etc., from large amounts of data such as images, without people having to design those features by hand. This makes it possible to achieve image recognition (identifying the type of animal) with high accuracy, so it matches the question’s “AI technology that automatically extracts features to identify the type.”
ここがポイント
- Deep learning uses multi-layer neural networks and can automatically extract and learn feature values from large amounts of data; it is a machine learning method that excels at tasks such as image recognition.
- Choices ア, イ, and ウ are all terms that denote a human learning method or form of education; distinguish them by noting that none of them is an AI technology.
用語