Deep Learning

Fundamentals

A powerful type of machine learning that uses many-layered neural networks to learn from very large amounts of data.

Deep learning stacks many layers of artificial neurons on top of each other. Each layer learns something slightly more abstract than the one before it - from edges, to shapes, to faces, for example.This approach is behind the biggest AI breakthroughs of the last decade: image recognition, speech-to-text, machine translation, and large language models like the ones powering ChatGPT and Gemini.