Krahasoni metodat

	Njësia e përsëritur e portës (GRU)	RNN-i Bidireksional
Fusha	Mësimi i thellë	Mësimi i thellë
Familja	Machine learning	Machine learning
Viti i origjinës	2014	1997
Krijuesi	Cho, K. et al.	Schuster, M. & Paliwal, K.K.
Lloji	Gated recurrent neural network unit	Recurrent neural network (sequence model)
Burimi themelues	Cho, K. et al. (2014). Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation. EMNLP.	Schuster, M. & Paliwal, K.K. (1997). Bidirectional Recurrent Neural Networks. IEEE Transactions on Signal Processing, 45(11), 2673–2681.
Emërtime të tjera	Kapılı Tekrarlayan Birim (GRU), gated recurrent unit, gated recurrent network	Çift Yönlü RNN / BiLSTM / BiGRU, bidirectional recurrent neural network, BiLSTM, BiGRU
Të lidhura	5	5
Përmbledhja	The Gated Recurrent Unit (GRU) is a gated recurrent neural network cell introduced by Cho and colleagues in 2014 that captures long-range dependencies in sequential data using update and reset gates, achieving performance comparable to LSTM with fewer parameters.	A Bidirectional RNN, introduced by Schuster and Paliwal in 1997, processes a sequence in both forward and backward directions so that every position has access to its full surrounding context. With LSTM or GRU cells (BiLSTM/BiGRU) it is the standard approach for named-entity recognition, sequence labelling, and speech recognition.