Skip to content

AI Foundations

Recurrent neural network

An AI network that passes information from earlier steps to later ones while processing an ordered sequence.

Example

AI passes information forward as it reads words in order.

Why people use it

It helps AI work with ordered information while carrying something from earlier steps forward.

What you'll hear

“Earlier words influence how it reads the next one.”

What this means for you

Test the lengths and kinds of sequences needed for the actual task.

Can you control it?

Developer-only

The people building or running the AI choose this setup. An everyday user generally needs their help to change how this part works.

Common questions

Does a recurrent network remember every earlier detail perfectly?
No. Learning and retaining long-range information can be difficult.
Can the order of information matter?
Yes. Reading the same items in a different order can change the system's internal information and result.
Is it only used for writing?
No. Ordered measurements, speech and other sequences can also be processed this way.

Related terms

Still have questions?

Up to 500 characters.

Ask LATHIC about AI. Relevant glossary entries may be included.

Your question, the glossary entries it matches, and a rotating pseudonymous identifier go to Microsoft Azure’s OpenAI service through Vercel AI Gateway to generate an answer. Zero retention and no training are required of the provider, and LATHIC does not save your question or answer. Privacy Notice