reduce execution runtime
- 主要語言
- Jupyter Notebook
- 星號
- 2
- 分支
- 0
- PR 合併指標
- 30 天內沒有已合併 PR
描述
attempt to reduce the runtime of the mri model while maintaining optimal epoch count (5-10).
current runtime (Nvidia GTX 1080): 5.02 minutes @ 99.70% accuracy (3 epochs)
(high accuracy, runtime slow)
this may include:
- applying techniques such as dropout and batch norm effectively (currently implemented, may not be the best functionality)
- changing architecture
貢獻指南
這個儲存庫沒有索引到貢獻指南
研究方向
Examine the MRI model architecture in the repository, likely in a Jupyter Notebook. Look for the training loop and model definition to understand current dropout and batch norm usage. Benchmark runtime with the provided hardware spec, then experiment with architectural changes or hyperparameter tuning to reduce time while keeping accuracy above 99% over 5-10 epochs.
由索引模型根據 Issue 內容生成。
評估
- 技術堆疊
- jupyter-notebook, python, pytorch, tensorflow
- 領域
- machine-learning, performance
- Issue 類型
- 重構
- 難度
- 4/5
- 預估耗時
- 3-5 天
- 活躍度
- 停滯
- 描述清晰度
- 基本清楚
- 新手友好度
- 35/100