Cipher text classification

The project aims to classify encrypted text into binary classes. The model gets an accuracy of 88%.

This project was an assignment for CSCI-544: Applied Natural Language Processing in spring-2022 at USC.

Name		Name	Last commit message	Last commit date
Latest commit History 1 Commit
.idea		.idea
README.md		README.md
bi_gru_recurrent_dropout.h5		bi_gru_recurrent_dropout.h5
data.zip		data.zip
main.ipynb		main.ipynb
upload_document.txt		upload_document.txt
upload_predictions.txt		upload_predictions.txt
workspace.ipynb		workspace.ipynb

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