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https://github.com/raviqqe/tensorflow-font2char2word2sent2doc

TensorFlow implementation of Hierarchical Attention Networks for Document Classification and some extension
https://github.com/raviqqe/tensorflow-font2char2word2sent2doc

deep-learning document-classification font ideogram logogram natural-language-processing python tensorflow

Last synced: 14 days ago
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TensorFlow implementation of Hierarchical Attention Networks for Document Classification and some extension

Host: GitHub
URL: https://github.com/raviqqe/tensorflow-font2char2word2sent2doc
Owner: raviqqe
License: unlicense
Created: 2017-01-05T09:07:11.000Z (almost 8 years ago)
Default Branch: master
Last Pushed: 2017-04-14T08:57:42.000Z (over 7 years ago)
Last Synced: 2024-10-24T21:28:24.981Z (21 days ago)
Topics: deep-learning, document-classification, font, ideogram, logogram, natural-language-processing, python, tensorflow
Language: Python
Homepage:
Size: 78.1 KB
Stars: 95
Watchers: 7
Forks: 31
Open Issues: 3
Metadata Files:
- Readme: README.md

Awesome Lists containing this project

README

        # tensorflow-font2char2word2sent2doc

[![PyPI version](https://badge.fury.io/py/tensorflow-font2char2word2sent2doc.svg)](https://badge.fury.io/py/tensorflow-font2char2word2sent2doc)

[![Python versions](https://img.shields.io/pypi/pyversions/tensorflow-font2char2word2sent2doc.svg)](setup.py)

[![wercker status](https://app.wercker.com/status/1d697a9a04d1e9166dfa9705ff10bbe5/s/master "wercker status")](https://app.wercker.com/project/byKey/1d697a9a04d1e9166dfa9705ff10bbe5)

[![License](https://img.shields.io/badge/license-unlicense-lightgray.svg)](https://unlicense.org)

TensorFlow implementation of [Hierarchical Attention Networks for Document Classification](https://www.google.co.jp/url?sa=t&rct=j&q=&esrc=s&source=web&cd=1&cad=rja&uact=8&ved=0ahUKEwiNxqa286zRAhUMqY8KHZYlCWEQFggjMAA&url=https%3A%2F%2Fwww.cs.cmu.edu%2F~diyiy%2Fdocs%2Fnaacl16.pdf&usg=AFQjCNFokKFJ1g7WQSDYkYEM82XwhGiDGw&sig2=iHJc5O86dNQrexisfSA7mw) with some extension.

## License

[The Unlicense](https://unlicense.org)