Concept 1 / 5
AI is a field, not one technology
AI includes rules, search, planning, optimization, probabilistic methods, machine learning and hybrids. The simplest adequate method is often the most reliable.
Auraアカデミー
セクション1 · 基礎
AI・機械学習・深層学習
AIは広い分野です。機械学習はデータからパターンを学び、深層学習は多層ニューラルネットワークを使います。製品はモデルを囲むより大きなシステムです。
初級20分
学習目標
- Distinguish AI, machine learning, deep learning, a model and a complete system.
- Recognize supervised, self-supervised and reinforcement learning.
- Choose a baseline before reaching for a large model.
Vue interactive
Explorez cette leçon à votre rythme
Choisissez une vue. Le détail n’apparaît que lorsque vous le demandez.
Interaction locale · aucune donnée envoyée
よくある誤解
Afficher +Réduire −
よくある誤解
- Calling every automation “AI” hides whether the system follows rules, searches, predicts or learns.
- A benchmark score does not guarantee performance on your users, language, data or failure modes.
- AGI and ASI are debated capability goals, not proven properties of current general-purpose models.
重要語
Afficher +Réduire −
重要語
- AI
- algorithm
- model
- data
- parameter
- training
- loss
- gradient
- generalization
- overfitting