Exploring low complexity embedded architectures for deep neural networks
Deep neural networks have shown significant improvements in computer vision applications over the last few years. Performance improvements have been brought about mostly by using pre-trained models like Inception-v4, ResNet-152, and VGG 19. However, these improvements have been accompanied by an inc...
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| Format: | Thesis-Master by Research |
| Language: | English |
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Nanyang Technological University
2021
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| Online Access: | https://hdl.handle.net/10356/150553 |