hackforla / hackforla/data-science
CoP: Data Science: Create Deep Learning Tutorial
- Dominant language
- Jupyter Notebook
- Stars
- 33
- Forks
- 22
- PR merge metrics
- No merged PRs in 30d
Description
### Overview
Update the [Deep Learning](https://github.com/hackforla/data-science/wiki/Deep-Learning) page with resources and an article header.
### Action Items
- [x] Create a Google Doc in the folder provided under resources
- [x] Create preliminary outline
- [x] Identify resources with vetted tutorials covering important skills within the tutorial area, adding to the draft
- [x] Draft an introductory paragraph explaining what the tutorial resources cover and why a new data scientist would use them for working with data at Hack For LA
- [ ] Review the draft with the Data Science CoP
- [ ] Make needed updates
- [ ] Add to the wiki page
### Resources/Instructions
#### Wiki page
[Deep Learning Tutorial](https://github.com/hackforla/data-science/wiki/Deep-Learning)
#### Location for any files you might need to upload (drafts, images, etc.)
- [Folder for files related to the Deep Learning tutorial](https://drive.google.com/drive/folders/1j_txrPW6uf6MjKTYqw_K1sIUtsZvbsLy)
- [DS: Deep Learning Tutorial Google Doc](https://docs.google.com/document/d/1YME-GyyStpl9QO3zKD-gatUgg1womzZjsdeYDaom71A/edit)
#### Tools that are core that should be mentioned:
- PyTorch
- Keras/TensorFlow
- HuggingFace
#### Examples of resources that would be useful to include:
- Web how-to/tutorial/walk-throughs
- Youtube playlists or videos demonstrating tools
- Links to blogs or platforms with subject matter experts
Contributor guide
Assessment
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