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ModelsIntermediate1986

Deep Learning

Deep Learning

Deep learning is a type of machine learning that uses neural networks with many layers to learn complex patterns.

Explained simply

Deep learning is a type of machine learning that uses neural networks with many layers to learn complex patterns.

1Lots of data
2Many neural layers
3Learn complex patterns
4Prediction

At a glance

Category
Models
Difficulty
Intermediate
Introduced
1986

Real example

A deep-learning system learns to recognise speech from many hours of recorded audio.

Why it matters

It gives you a clear way to understand where this idea fits in AI and how it affects the tools you use.

Timeline

Origins

The ideas behind Deep Learning begin developing.

1986

Deep Learning becomes a recognised term or technique.

Wider use

Research and practical applications increase.

Modern AI

Deep Learning becomes connected to newer AI systems and products.

Today

Deep Learning remains relevant in the models area of AI.

Dates for broad concepts may describe the period when the idea emerged or became widely used, rather than one exact invention date.

Learn next

Simple infographic

A quick visual way to understand Deep Learning.

1Lots of data
2Many neural layers
3Learn complex patterns
4Prediction
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