🧱 Basics
Neural network
neural networks, Deep learning, deep learning
A computational model of many connected “neurons” in layers. Each connection has a weight that is adjusted during training. Many layers = deep learning.
💭 Imagine …
A giant mixing desk with billions of knobs. Training turns the knobs until the sound, the output, is right.
🔎 Example
Speech recognition on your phone, face recognition, language models.
🎯 Why it matters
Nobody wrote the rules in. That's why it's often hard to explain why a network decides something.
🎓 Prefer step by step?
The AI Literacy course: 6 short modules with quizzes, a solid foundation in about 60 minutes.