复现 Googlenet
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 Googlenet ,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 reviewing the model structure under offical/vision/classification/models and the ImageNet training requirements described in the issue. Done means a GoogLeNet implementation is submitted to that path, training completes and converges, accuracy meets or exceeds the paper, and trained weights are provided to MegEngine/Hub.
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