Adding contents on Deep Learning
Nobody has claimed this yet.
Assessment
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Newbie friendliness
- 32/100
- Issue type
- Documentation
- Clarity
- Needs clarification
- Activity status
- Stale
- Tech stack
- python, pytorch, tensorflow
- Domain
- documentation, machine-learning
Research direction
Start by reviewing the guide's existing machine-learning content and how its categories are organized. Determine what deep-learning material and TensorFlow and PyTorch references should be added, and whether a separate category is warranted; done means the requested content and category decision are reflected in the guide.
Written by the indexing model from the issue text.
Description
It's probably a good idea to add some content about deep learning, pointing to frameworks like tensorflow, pytorch, etc. It's such a popular use of Python that I am surprised to not see them under machine learning. I think we should even put them in a separate category, as deep learning is so prevalent now.
- Dominant language
- Batchfile
- Stars
- 29.8k
- Forks
- 5.9k
- PR merge metrics
- No merged PRs in 30d
Contributor guide
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.
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