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Characterize and Compare the Performance of Deep Learning Optimizers in Recurrent Neural Network Architectures
| Title: | Characterize and Compare the Performance of Deep Learning Optimizers in Recurrent Neural Network Architectures | Authors: | Zaeed, Mohammad; Islam, Tanzima Z; Indic, Vladimir  |
Issue Date: | 2024 | Publication: | 2024 IEEE 48TH ANNUAL COMPUTERS, SOFTWARE, AND APPLICATIONS CONFERENCE, COMPSAC 2024 | ISSN: | 2836-3787  Search Idenfier |
Type: | Conference Paper | Collation: | str. 39-44 | DOI: | 10.1109/COMPSAC61105.2024.00016 | WoS-ID: | 001308581200006 | Scopus-ID: | 2-s2.0-85204054351 | URI: | https://enauka.gov.rs/handle/123456789/952715 | Project: | U.S. Department of Energy, Office of Science [DE-SC0022843] PerfROCm project |
Metadata source: | (Preuzeto iz Nasi u WoS) | M-category: | Mp. category will be shown later |
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