Technology
What is a neural network?
A neural network is a computing system loosely inspired by the brain, made of layers of simple connected units that learn patterns from data. By adjusting the strength of connections during training, it can recognize images, understand speech, and power modern AI.
See it, don’t just read it.
Watch a 2-minute lesson with voice + animation that explains a neural network.
Key things to understand
- 1It's built from layers of simple units ('neurons') connected together.
- 2Each connection has a weight that strengthens or weakens a signal.
- 3Training adjusts those weights to reduce errors.
- 4It learns patterns from examples rather than being explicitly programmed.
- 5Deep networks (many layers) drive image, speech, and language AI.
Frequently asked questions
- How does a neural network learn?
- It makes predictions, measures the error, and adjusts its connection weights slightly to do better — repeating over many examples.
- Is a neural network like a human brain?
- Only loosely — it borrows the idea of connected 'neurons,' but it's far simpler and works through math, not biology.
- What does 'deep learning' mean?
- Using neural networks with many layers, which can learn very complex patterns — the basis of most modern AI.