Comments (3)
The dictionary of all the words that can be associated to an embedding is available here.
As it contains too much word for my task, I prefer to reduce it / create my own.
Also, note that the skipthought model was trained using its own embedding layer initialized with the word2vec embeddings.
from skip-thoughts.torch.
Is this sufficient?
https://github.com/Cadene/skip-thoughts.torch/tree/master/pytorch#quick-example
from skip-thoughts.torch.
So first we need to make a vocabulary of all the possible words?. Instead of making a vector of word indices (eg. [1,2,3,4,0] in the example), can I use the word2vec embeddings (input as a 5x300 tensor)?
from skip-thoughts.torch.
Related Issues (9)
- Is it possible to release the training recipe? HOT 2
- Sequence Length Dimensionality
- How would a decoder be implemented? HOT 1
- issues about running test.py HOT 2
- Error when batch size = 1
- TypeError: 'dict_keys' object does not support indexing
- Is it available for Python2? HOT 1
- FileNotFoundError: [Errno 2] No such file or directory: 'data/skip-thoughts\\dictionary.txt'
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.
from skip-thoughts.torch.