What is Deep Learning?
A type of machine learning that uses neural networks with many layers to learn complex patterns.
Why It Matters
Deep learning drives the most impressive AI capabilities including image generation, speech recognition, and language understanding.
Real-World Example
Deep learning enables your phone to recognise faces in photos and transcribe voice messages to text.
“Understanding terms like Deep Learning matters because it helps you have better conversations with developers and make smarter decisions about your software. You do not need to be technical. You just need to know enough to ask the right questions.”
Related Terms
Neural Network
A computing system inspired by the human brain, made up of layers of connected nodes that learn patterns from data.
Convolutional Neural Network (CNN)
A type of neural network designed to process grid-like data such as images by detecting patterns and features.
Transformer
A type of AI architecture that processes text by paying attention to relationships between all words at once, rather than reading sequentially.
Large Language Model (LLM)
An AI system trained on massive amounts of text that can understand and generate human language.
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Related Terms
Large Language Model (LLM)
An AI system trained on massive amounts of text that can understand and generate human language.
Transformer
A type of AI architecture that processes text by paying attention to relationships between all words at once, rather...
Neural Network
A computing system inspired by the human brain, made up of layers of connected nodes that learn patterns from data.
Convolutional Neural Network (CNN)
A type of neural network designed to process grid-like data such as images by detecting patterns and features.
Attention Mechanism
A technique that lets AI models focus on the most relevant parts of the input when generating output.
Tokenisation
The process of breaking text into smaller pieces called tokens that an AI model can process.