Inside the AI brain
Models, features, networks and training
Course 4 of 10, Ages 10+
- What’s a model?: The recipe AI writes for itself
- Features: The clues an AI looks at
- Decision trees: Asking questions to reach an answer
- Neural networks: Tiny deciders that vote
- Training and testing: Practice, then the quiz
- Remembering vs understanding: Why memorising isn’t learning
- Learning from mistakes: Getting warmer, step by step
- Thinking in chances: Probability and confidence
- Deep learning: Why more layers help
- How AI recognises images: Filters, layers and convolutions