TrapezoidalNet: A new network architecture inspired from the numerical solution of ordinary differential equations
The architecture of deep neural networks is commonly determined via trial and error, resulting in inefficiency and a lack of architecture interpretability. Recent research shows that numerical solutions of ordinary differential equations have demonstrated great potential for designing network archit...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2023-10-01
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| Series: | Alexandria Engineering Journal |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1110016823007834 |