Kuti kutiq ankucha llika
Kuti Kutiq ankucha llika (Inlish simpi: RNN) nisqaqa huk kapchisqa ankucha llikakunap klasi, maypichus nodukunapura tinkiykuna huk muyuta paqarichiyta atin, wakin khipukunamanta lluqsiyta qatiq yaykuykunata kikin khipukunaman chayayta saqispa. Chaywanmi comportamiento dinámico temporal nisqa qawachiyta atin. Huk feedforward neural networkkuna kaqnin, RNNs ukhu estadonkuta (yuyariy) llamk'achiyta atinku, yaykusqakunap tikraq suni secuenciankunata llamk'achinapaq. [1] [2] [3] Kayqa mana t’aqasqa, t’inkisqa maki qillqa riqsiy [4] utaq rimay riqsiy hina ruwaykunaman ruwanapaqmi ruwan.[5] Kuti kutiq ankucha llikakunaqa ñasapi Turing hunt'asqam, munaspa wakichikunata purichiyta atin, yaykusqakunap munasqa secuenciankunata llamk'achinapaq. [6]
Pukyukuna
llamk'apuy- ↑ Dupond, Samuel. A thorough review on the current advance of neural network structures.. https://www.sciencedirect.com/journal/annual-reviews-in-control.
- ↑ Abiodun, Oludare Isaac; Jantan, Aman; Omolara, Abiodun Esther. State-of-the-art in artificial neural network applications: A survey.
- ↑ Tealab, Ahmed. Time series forecasting using artificial neural networks methodologies: A systematic review.
- ↑ Graves, Alex; Liwicki, Marcus; Fernandez, Santiago (2009). A Novel Connectionist System for Improved Unconstrained Handwriting Recognition. http://www.idsia.ch/~juergen/tpami_2008.pdf.
- ↑ Long Short-Term Memory recurrent neural network architectures for large scale acoustic modeling (2014)
- ↑ Hyötyniemi, Heikki. Turing machines are recurrent neural networks.