复现 EfficientNet
Open
help-wanted
- Dominant language
- Python
- Stars
- 306
- Forks
- 96
- PR merge metrics
- No merged PRs in 30d
Description
## 任务描述
- 复现 EfficientNet ,训练正常收敛,验收指标符合预期,并将代码提交到 offical/vision/classification/models 下
## 目标
- 数据集ImageNet
- 准确率和论文一致或更高
- 脚本可以完整完成训练步骤
- 提供训练后的权重文件
- 提交至 https://github.com/MegEngine/Hub
Contributor guide
No contributing guide indexed for this repository
Research direction
Start by inspecting the existing model layout under official/vision/classification/models and the repository's training entry points. Use ImageNet as the dataset and verify that the training script completes and reaches the paper's reported accuracy. Done means the implementation, trained weight file, and submission to MegEngine/Hub are provided.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 25/100