Skip to content
master
Go to file
Code

Latest commit

 

Git stats

Files

Permalink
Failed to load latest commit information.
Type
Name
Latest commit message
Commit time
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

README.md

Neural Politician

Project for generating speeches of austrian politicians with recurrent neural networks.

The project structure is as follows:

  • backend: Django application of the providing necessary endpoints
  • frontend: static files composing the
  • intelligence: deep neural network architecture and data set utilties
  • infrastructure: utility file for the necessary infrastructure components
  • neural-politician: Django settings

In general a stacked recurrent neural network (RNN) was applied to protocol of speeches in the Austrian parlament. Underlying LSTMs had a size of 1526 units, which were trained with a sequence length of 15. The following figure depicts the applied architecture.

alt text

Training was done on GPU instances on the Google Compute Engine. The utility script ./intelligence/start.sh provides neccessary actions for training and executing the neural network.

About

Generate speeches of austrian politicians with recurrent neural networks.

Topics

Resources

License

Releases

No releases published

Packages

No packages published
You can’t perform that action at this time.