Question about the embedding vector.
- Dominant language
- Python
- Stars
- 132
- Forks
- 37
- PR merge metrics
- No merged PRs in 30d
Description
Hi~
I have successfully run your wonderful code.
But I want to know more details about embedding character (5103 vectors)
What is the source of these characters and have you combined other features to train the characters? (like the radical feature?)
Looking forward to your early reply.
By the way, I have bought your new book as quickly as I can. It really helps!!
Contributor guide
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Research direction
Start by inspecting the repository's source code and corpora for the embedding data and training process, then compare them with the paper description. Document the source of the 5,103 character vectors and whether radical or other features are used; the issue names no specific files or tests.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python, tensorflow
- Domain
- machine-learning
- Issue type
- Documentation
- Difficulty
- 2/5
- Estimated time
- 1-3 hours
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 15/100