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ModelsIntermediate1943

ANN

Artificial Neural Network

An artificial neural network is a computer system made of connected layers that learn patterns from examples.

Explained simply

An artificial neural network is a computer system made of connected layers that learn patterns from examples.

1Examples
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2Connected layers
→
3Learn patterns
→
4Prediction

At a glance

Category
Models
Difficulty
Intermediate
Introduced
1943

Real example

A neural network learns from thousands of labelled photos to recognise cats and dogs.

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 ANN begin developing.

1943

ANN becomes a recognised term or technique.

Wider use

Research and practical applications increase.

Modern AI

ANN becomes connected to newer AI systems and products.

Today

ANN 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

Continue with these connected terms:

Neural NetworkA neural network is a layered computer system that learns patterns by adjusting connections between its parts.→Deep LearningDeep learning is a type of machine learning that uses neural networks with many layers to learn complex patterns.→TransformerA transformer is the neural-network design behind most modern language models. It is especially good at understanding relationships within information.→

Simple infographic

A quick visual way to understand ANN.

1Examples
→
2Connected layers
→
3Learn patterns
→
4Prediction
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