https://github.com/rpatrik96/lod-wmm-2019
Supplementary code for the paper "Stochastic Weight Matrix-based Regularization Methods for Deep Neural Networks" - an accepted paper of LOD2019
https://github.com/rpatrik96/lod-wmm-2019
deep-learning deep-learning-algorithms deep-neural-networks generalization overfitting pytorch pytorch-implementation regularization regularization-methods weight-matrix weight-reinitialization weight-shuffling wmm
Last synced: 5 months ago
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Supplementary code for the paper "Stochastic Weight Matrix-based Regularization Methods for Deep Neural Networks" - an accepted paper of LOD2019
- Host: GitHub
- URL: https://github.com/rpatrik96/lod-wmm-2019
- Owner: rpatrik96
- License: lgpl-3.0
- Created: 2019-06-22T19:47:57.000Z (over 6 years ago)
- Default Branch: master
- Last Pushed: 2019-06-22T19:53:18.000Z (over 6 years ago)
- Last Synced: 2025-06-02T10:44:23.089Z (5 months ago)
- Topics: deep-learning, deep-learning-algorithms, deep-neural-networks, generalization, overfitting, pytorch, pytorch-implementation, regularization, regularization-methods, weight-matrix, weight-reinitialization, weight-shuffling, wmm
- Language: Python
- Size: 111 KB
- Stars: 3
- Watchers: 2
- Forks: 0
- Open Issues: 0