Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Victor Guevara-Ponce"'
Autor:
Orlando Iparraguirre-Villanuev, Victor Guevara-Ponce, Daniel Ruiz-Alvarado, Saul BeltozarClemente, Fernando Sierra-Liñan, Joselyn Zapata-Paulini, Michael Cabanillas-Carbonell
Unit short-term memory (LSTM) is a type of recurrent neural network (RNN) whose sequence-based models are being used in text generation and/or prediction tasks, question answering, and classification systems due to their ability to learn long-term de
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______2659::7531c667564adb22a4f4bed1f6cb5567
https://zenodo.org/record/7797430
https://zenodo.org/record/7797430
Autor:
Orlando Iparraguirre-Villanueva, Victor Guevara-Ponce, Carmen Torres-Ceclén, John Ruiz-Alvarado, Gloria Castro-Leon, Ofelia Roque-Paredes, Joselyn Zapata-Paulini, Michael Cabanillas-Carbonell
Publikováno v:
International Journal of Advanced Computer Science and Applications. 14
Autor:
Orlando Iparraguirre-Villanueva, Victor Guevara-Ponce, Daniel Ruiz-Alvarado, Saul Beltozar-Clemente, Fernando Sierra-Liñan, Joselyn Zapata-Paulini, Michael Cabanillas-Carbonell
Publikováno v:
Indonesian Journal of Electrical Engineering and Computer Science. 29:1758
Unit short-term memory (LSTM) is a type of recurrent neural network (RNN) whose sequence-based models are being used in text generation and/or prediction tasks, question answering, and classification systems due to their ability to learn long-term de
Autor:
Orlando Iparraguirre-Villanueva, Victor Guevara-Ponce, Ofelia Roque Paredes, Fernando Sierra-Liñan, Joselyn Zapata-Paulini, Michael Cabanillas-Carbonell
Publikováno v:
International Journal of Advanced Computer Science and Applications. 13