/counting_dimensions

public demonstration for our ACL 2018 paper, "On the Practical Computational Power of Finite Precision RNNs for Language Recognition"

Primary LanguageJupyter Notebook

ACL support repository

This is a simple repository to host files for the following google colab notebook: https://drive.google.com/file/d/1Ya4Dhih8JU-do9t4gcxkU4pgb9Gm8dmo/view?usp=sharing (though you can also just clone the repository and run the notebook in it on your own computer :) )

The notebook is a demonstration of the results of our paper, "On the Practical Computational Power of Finite Precision RNNs for Language Recognition". It holds 4 pretrained networks: the languages $a^nb^n$ and $a^nb^nc^n$, on LSTM and GRU networks. You can also train your own networks.

Citation

You can cite this work using:

@InProceedings{weiss-goldberg-yahav,
title = {On the Practical Computational Power of Finite Precision RNNs for Language Recognition},
author = {Gail Weiss and Yoav Goldberg and Eran Yahav},
booktitle = {Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics},
year = {2018},
editor = {Iryna Gurevych and Yusuke Miyao},
address = {Melbourne Convention and Exhibition Centre, Melbourne, Australia},
month = {15--20 Jul},
}