aws / aws/amazon-sagemaker-examples
[Content Improvement] Amazon_JumpStart_Semantic_Segmentation.ipynb show training metrics
- Dominant language
- Jupyter Notebook
- Stars
- 11k
- Forks
- 7k
- Avg merge
- 8h 29m
- Merged PRs (30d)
- 8
Description
**Link to the notebook**
Amazon_JumpStart_Semantic_Segmentation.ipynb
**What aspects of the notebook can be improved?**
Show viewing training metrics - IOU vs epochs
**What are your suggestions?**
This is shown in the book by Julien Simon but when I browse to the location in `Experiments and trials` I see nothing
Contributor guide
Research direction
Open Amazon_JumpStart_Semantic_Segmentation.ipynb and inspect how training runs and metrics are currently presented, including the Experiments and trials location mentioned in the issue. The work is complete when the notebook visibly shows IOU against epochs for the semantic-segmentation training run.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- aws, jupyter-notebook
- Domain
- data-visualization, machine-learning
- Issue type
- Feature
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 35/100