What is Deep learning?
Machine learning that uses neural networks with many layers.
In plain English
Deep learning can learn useful features straight from raw data such as images, sound and text, which is why it drives modern vision, speech and language systems. It usually needs large amounts of data and computing power.
Example
Recognising faces in photos or turning speech into text are typical deep learning tasks.
Easy to confuse with
- Machine learning: Machine learning is the wider field. Deep learning is the part of it built on many-layered neural networks.
Where you will meet it
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Related terms
- Neural network: A model made of layers of simple connected units that learns by adjusting the strength of the connections.
- Machine learning: Software that learns patterns from data instead of following rules written by hand.
- Generative AI: AI that creates new content, such as text, images, code or audio, from a prompt.
Quick answers
What is Deep learning?
Machine learning that uses neural networks with many layers.
What is the difference between Deep learning and Machine learning?
Machine learning is the wider field. Deep learning is the part of it built on many-layered neural networks.
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