dwyl / dwyl/learn-machine-learning
How Transformers (Neural Network) Work
Open
enhancement
- Dominant language
- No language data
- Stars
- 12
- Forks
- 0
- PR merge metrics
- No merged PRs in 30d
Description
+ https://medium.com/@giacaglia/transformers-141e32e69591
+ http://jalammar.github.io/illustrated-transformer
+ http://nlp.seas.harvard.edu/2018/04/03/attention.html
Contributor guide
No contributing guide indexed for this repository
Research direction
Start by reading the three linked transformer resources to understand the intended subject and level. The issue names no repository file, entry point, test, or concrete documentation change, so the first step is to identify where this material belongs and define what completed documentation should contain.
Written by the indexing model from the issue text.
Assessment
- Domain
- documentation, machine-learning
- Issue type
- Documentation
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100