{"version":"1.0","type":"rich","provider_name":"gaks.ai AI Glossary","provider_url":"https://gaks.ai/glossary","title":"Gated Recurrent Unit — AI Glossary","author_name":"Glenn Katrud Solheim","author_url":"https://gaks.ai","width":600,"height":200,"html":"

AI Glossary — gaks.ai

Gated Recurrent Unit (GRU)

A type of recurrent neural network architecture that uses gating mechanisms to control how much past information is retained or discarded at each step. GRUs are simpler than long short-term memorys but achieve comparable performance on many tasks, and were widely used for sequence modeling before transformers became the dominant architecture. See also: long short-term memory, recurrent neural network, transformer.

Source: gaks.ai/glossary/gated-recurrent-unit →
"}