Code Monkey home page Code Monkey logo

tf-rnn-attention's Introduction

Tensorflow implementation of attention mechanism for text classification tasks.
Inspired by "Hierarchical Attention Networks for Document Classification", Zichao Yang et al. (http://www.aclweb.org/anthology/N16-1174).

Requirements

  • Python >= 2.6
  • Tensorflow >= 1.0
  • Keras (IMDB dataset)
  • tqdm

To view visualization example visit http://htmlpreview.github.io/?https://github.com/ilivans/tf-rnn-attention/blob/master/visualization.html

My bachelor's thesis on sentiment classification of Russian texts using Bi-RNN with attention mechanism: https://github.com/ilivans/attention-sentiment

tf-rnn-attention's People

Contributors

ilivans avatar hudsonhuang avatar

Watchers

James Cloos avatar Shubham Pachori avatar paper2code - bot avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.