Search Results
| Search type | Search syntax |
|---|---|
| Tags | [tag] |
| Exact | "words here" |
| Author |
user:1234 user:me (yours) |
| Score |
score:3 (3+) score:0 (none) |
| Answers |
answers:3 (3+) answers:0 (none) isaccepted:yes hasaccepted:no inquestion:1234 |
| Views | views:250 |
| Code | code:"if (foo != bar)" |
| Sections |
title:apples body:"apples oranges" |
| URL | url:"*.example.com" |
| Saves | in:saves |
| Status |
closed:yes duplicate:no migrated:no wiki:no |
| Types |
is:question is:answer |
| Exclude |
-[tag] -apples |
| For more details on advanced search visit our help page | |
Results tagged with word2vec
Search options not deleted
user 13957
word2vec is a two layer neural network to process text. It takes words as an input and outputs a vector correspondingly. It uses a combination of Continuous Bag of Word and skipgram model implementation.
11
votes
Can we take of benefit of using transfer learning while training a word2vec models?
Here is a great compilation of pre-trained word2vec models. … https://github.com/3Top/word2vec-api#where-to-get-a-pretrained-models
Some additional pre-trained models:
http://www.zuccon.net/ntlm.html
https://code.google.com/archive/p/word2vec/
More on gensim …
- 316