复现 Googlenet
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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
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First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
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