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AI glossary

Deep Learning

Deep learning is a type of machine learning that uses layered neural networks to learn complex patterns from large amounts of data - it is the approach behind most modern AI.

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In this guide

  1. 1What Deep Learning means
  2. 2Why Deep Learning matters

What Deep Learning means

Deep learning uses neural networks with many layers stacked on top of each other - that depth is where the name comes from. Each layer learns slightly more complex patterns than the one before it.

Recognizing a photo of a cat is a good example: early layers might detect simple edges, middle layers combine those into shapes like ears, and later layers recognize the full animal. The depth lets the system handle very complex tasks.

Why Deep Learning matters

Deep learning is what made today's powerful AI possible, including the language models behind everyday tools. Knowing the term helps you understand where AI's capabilities come from.

It powers language models, image generators, and voice tools
It explains why modern AI is far more capable than older systems
Understanding it clarifies why AI needs large amounts of data
It gives helpful context for anyone building on top of AI tools

Frequently asked questions

Deep learning is a specific kind of machine learning that uses deep neural networks. All deep learning is machine learning, but machine learning also includes simpler methods.

More AI terms

Neural NetworkA computing system loosely modeled on the brain, made of connected nodes that learn patterns from data.Natural Language ProcessingA field of AI focused on helping computers understand, interpret, and generate human language.Training DataThe collection of examples an AI model learns from in order to perform a task.Fine-TuningFurther training an existing AI model on extra, focused examples so it performs better on a specific task.Foundation ModelA large, general-purpose AI model trained on broad data that can be adapted for many different tasks.TransformerA type of neural network design that powers modern language models and handles sequences like text well.

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