Vertaile menetelmiä

	Kaksisuuntainen RNN	Porttiyksikkö (GRU)	Sekvenssistä sekvenssiksi -malli
Tieteenala	Syväoppiminen	Syväoppiminen	Syväoppiminen
Menetelmäperhe	Machine learning	Machine learning	Machine learning
Syntyvuosi	1997	2014	2014
Kehittäjä	Schuster, M. & Paliwal, K.K.	Cho, K. et al.	Sutskever, I.; Cho, K.
Tyyppi	Recurrent neural network (sequence model)	Gated recurrent neural network unit	Encoder-decoder neural network (deep learning)
Alkuperäislähde	Schuster, M. & Paliwal, K.K. (1997). Bidirectional Recurrent Neural Networks. IEEE Transactions on Signal Processing, 45(11), 2673–2681.	Cho, K. et al. (2014). Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation. EMNLP.	Sutskever, I., Vinyals, O. & Le, Q. V. (2014). Sequence to Sequence Learning with Neural Networks. NeurIPS.
Rinnakkaisnimet	Çift Yönlü RNN / BiLSTM / BiGRU, bidirectional recurrent neural network, BiLSTM, BiGRU	Kapılı Tekrarlayan Birim (GRU), gated recurrent unit, gated recurrent network	Dizi-Dizi Modeli (Seq2Seq — Encoder-Decoder), encoder-decoder model, seq2seq, sequence to sequence learning
Liittyvät	5	5	5
Tiivistelmä	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.	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.	The sequence-to-sequence (Seq2Seq) model, introduced by Sutskever, Vinyals and Le and by Cho and colleagues in 2014, is an encoder-decoder neural network that maps a variable-length input sequence to a variable-length output sequence. It is the foundation of machine translation, text summarization, dialogue systems and code generation.