AI Foundations
Neural network
A model made of connected mathematical units that learns patterns by adjusting internal weights.
Example
A handwriting system adjusts connected mathematical units until it can recognize new writing samples.
Why it matters
It lets a system combine many small clues when no single clue gives a reliable answer.
You'll hear it
“The network recognizes the shape, but it struggles with this handwriting.”
Can you control it?
Set by the team
The people building or running the AI choose this setup. An everyday user generally needs their help to change how this part works.
Common questions
- Is a neural network modeled on the brain?
- It is loosely inspired by connected neurons, but it is a mathematical system and not a working copy of a human brain.
- Can it work with numbers as well as pictures?
- Yes. The same general approach can handle measurements, writing, sound and other information.
- Why do neural networks have layers?
- Different layers can learn different parts of a complex pattern and combine them into a result.