https://github.com/yannick-kees/deep-minimizing-movement-scheme
Neural Networks tend to overfit. One way to overcome this problem is by considering a sequence of optimization problems, where we modify the loss function so that we minimize the distance to the previous solution in every step.
https://github.com/yannick-kees/deep-minimizing-movement-scheme
ambrosio-tortorelli deep-learning deep-minimizing-movement minimizing-movement non-linear-optimization numerical-analysis optimization-algorithms pytorch
Last synced: about 1 month ago
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Neural Networks tend to overfit. One way to overcome this problem is by considering a sequence of optimization problems, where we modify the loss function so that we minimize the distance to the previous solution in every step.
- Host: GitHub
- URL: https://github.com/yannick-kees/deep-minimizing-movement-scheme
- Owner: Yannick-Kees
- Created: 2023-01-25T15:09:24.000Z (over 3 years ago)
- Default Branch: main
- Last Pushed: 2023-02-15T10:21:23.000Z (over 3 years ago)
- Last Synced: 2025-01-23T15:53:57.248Z (over 1 year ago)
- Topics: ambrosio-tortorelli, deep-learning, deep-minimizing-movement, minimizing-movement, non-linear-optimization, numerical-analysis, optimization-algorithms, pytorch
- Language: Python
- Homepage:
- Size: 787 KB
- Stars: 2
- Watchers: 2
- Forks: 0
- Open Issues: 0