recurrent neural network
class of artificial neural network where connections between units form a directed graph along a temporal sequence
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recurrent neural network
Summary
recurrent neural network ranks in the top 3% of ai entities by monthly Wikipedia readership (2,655 views/month).[1]
Key Facts
- recurrent neural network is credited with the discovery of Shun'ichi Amari[2].
- recurrent neural network is a type of artificial neural network[3].
- recurrent neural network is the opposite of feedforward neural network[4].
- recurrent neural network's Stack Exchange tag is recorded as https://stackoverflow.com/tags/recurrent-neural-network[5].
- recurrent neural network's Stack Exchange tag is recorded as https://ai.stackexchange.com/tags/recurrent-neural-networks[6].
- recurrent neural network's short name is recorded as {'lang': 'en', 'text': 'RNN'}[7].
- recurrent neural network's short name is recorded as {'lang': 'ru', 'text': 'РНС'}[8].
- recurrent neural network's short name is recorded as {'lang': 'uk', 'text': 'РНМ'}[9].
- recurrent neural network's short name is recorded as {'lang': 'pt-br', 'text': 'RNR'}[10].
- recurrent neural network's different from is recorded as recursive neural network[11].
Body
Works and Contributions
recurrent neural network is credited with the discovery of Shun'ichi Amari[2].
Why It Matters
recurrent neural network ranks in the top 3% of ai entities by monthly Wikipedia readership (2,655 views/month).[1] It has Wikipedia articles in 19 language editions, a strong signal of global cultural recognition.[12] It is known by 18 alternative names across languages and contexts.[13]