NN2022 project
This project is a reimplementation of Shuffling Recurrent Neural Networks,
using the premute_mnist data set,
tested different shuffling types,
and combined with Sliced Recurrent Neural Networks to improve the performance.

Usage:
Use Google Colab
1.mount your Google Drive by
from google.colab import drive
drive.mount('/content/drive')
2.Specify the directory where you put the files(notebook,runs,model),for example
os.chdir("/content/drive/My Drive/Colab Notebooks")
3.run the notebook

References:
Rotman M, Wolf L. Shuffling recurrent neural networks[C]//Proceedings of the AAAI Conference on Artificial Intelligence. 2021, 35(11): 9428-9435.
Yu Z, Liu G. Sliced recurrent neural networks[J]. arXiv preprint arXiv:1807.02291, 2018.