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ModelsIntermediate1943

Neural Network

Neural Network

A neural network is a layered computer system that learns patterns by adjusting connections between its parts.

Explained simply

A neural network is a layered computer system that learns patterns by adjusting connections between its parts.

1Input layer
2Hidden layers
3Learn connections
4Output

At a glance

Category
Models
Difficulty
Intermediate
Introduced
1943

Real example

A neural network learns from past transactions to identify unusual payments.

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 Neural Network begin developing.

1943

Neural Network becomes a recognised term or technique.

Wider use

Research and practical applications increase.

Modern AI

Neural Network becomes connected to newer AI systems and products.

Today

Neural Network 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 Neural Network.

1Input layer
2Hidden layers
3Learn connections
4Output
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