Comparative analysis of performance of deep learning classification approach based on LSTM-RNN for textual and image datasets

URN:NBN:SI:doc-25Y7OQ2W2022Dahr, Jasim MohammedGaafar, Alaa SahlHamoud, Alaa Khalafdocuments/doc/2/URN_NBN_SI_doc-25Y7OQ2W_001.pdfdocuments/doc/2/URN_NBN_SI_doc-25Y7OQ2W_001.txt465articlestr. 21-2810.31449/inf.v46i5.38721103859231854-3871URN:NBN:SI:doc-25Y7OQ2WengSlovensko društvo InformatikaInformatica (Ljubljana)BYgloboko učenjenevronske mrežeračunalništvoumetna inteligencaComparative analysis of performance of deep learning classification approach based on LSTM-RNN for textual and image datasets