Browsing İGÜ Akademik Birimleri by Subject "LSTM Multi-class classification"
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A deep bidirectional recurrent neural network for identification of SARS-CoV-2 from viral genome sequences
(AMER INST MATHEMATICAL SCIENCES-AIMS, PO BOX 2604, SPRINGFIELD, MO 65801-2604, 2021)In this work, Deep Bidirectional Recurrent Neural Networks (BRNNs) models were implemented based on both Long Short-Term Memory (LSTM) and Gated Recurrent Unit (GRU) cells in order to distinguish between genome sequence ...