Plain English
Deep learning
Machine learning with large, many-layered neural networks: the approach behind most of today’s AI.
A kind of machine learning that uses neural networks with many layers to learn patterns from large amounts of data. It powers modern speech recognition, image tools and language models.
Why it matters
It explains why today’s AI handles messy things like speech, photos and writing so well, and why building it takes so much data and computing power.
At work
When your phone turns a voice note into text, deep learning is doing the listening.
Think of it like how you learned to recognize a friend’s face: not from rules, but from seeing it enough times, from enough angles.
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