Technology
What is Deep learning?
Deep learning is a type of machine learning that uses neural networks with many layers to learn patterns directly from data. It powers modern AI — from image recognition and speech to chatbots — by automatically discovering features instead of being hand-programmed.
See it, don’t just read it.
Watch a 2-minute lesson with voice + animation that explains deep learning.
Key things to understand
- 1It's a branch of machine learning built on multi-layered neural networks.
- 2Each layer learns increasingly abstract features from the data.
- 3It needs lots of data and computing power to train well.
- 4It drives image recognition, speech, translation, and chatbots.
Frequently asked questions
- What's the difference between machine learning and deep learning?
- Deep learning is a subset of machine learning that uses many-layered neural networks to learn features automatically.
- Why is it called 'deep' learning?
- Because the neural networks have many stacked layers — the 'depth' that lets them learn complex patterns.
- What is deep learning used for?
- Image and speech recognition, language translation, recommendation systems, self-driving cars, and chatbots.