This repository demonstrates the usage of word2Vec to learn the Vector embeddings of sequences. These embeddings are loaded in Tensorflow based model, which uses them to perform sequence classification. The results are generated using the Matplotlib, Seaborn.
-
Notifications
You must be signed in to change notification settings - Fork 0
This repository demonstrates the usage of word2Vec to learn the Vector embeddings of sequences. These embeddings are loaded in Tensorflow based model, which uses them to perform sequence classification. The results are generated using the Matplotlib, Seaborn.
License
sheraz-n/Sequence_Classification_using_Word2Vec_DNNs
Folders and files
| Name | Name | Last commit message | Last commit date | |
|---|---|---|---|---|
Repository files navigation
About
This repository demonstrates the usage of word2Vec to learn the Vector embeddings of sequences. These embeddings are loaded in Tensorflow based model, which uses them to perform sequence classification. The results are generated using the Matplotlib, Seaborn.
Resources
License
Stars
Watchers
Forks
Releases
No releases published
Packages 0
No packages published