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Neural Networks as Ordinary Differential Equations
Recently I found a paper being presented at NeurIPS this year, entitled Neural Ordinary Differential Equations, written by Ricky Chen, Yulia Rubanova, Jesse Bettencourt, and David Duvenaud from the University of Toronto. The core idea is that certain types of neural networks are analogous to a discretized differential…
- Points
- 474
- HN comments
- 60
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- 1
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AI & Machine LearningMath & Algorithms2018
On Hacker News
| Submitted | Title on HN | Points | Comments |
|---|---|---|---|
| Dec 17, 2018 | Neural Networks as Ordinary Differential Equations by agronaut | 474 | 60 |
