Online and continual learning using randomization based deep neural networks
Deep neural networks have shown their promise in recent years with their state-of-the-art results. Yet, they suffer from some issues such as the time-consuming training process and catastrophic forgetting. In this work we look to overcome them by combining the advantages of an online learning pro...
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| Format: | Thesis-Master by Research |
| Language: | English |
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Nanyang Technological University
2023
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| Online Access: | https://hdl.handle.net/10356/165774 |