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hem-rnn's Introduction

External Memory argumented Recurrent Neural Networks (HEM-RNN)

Experiment on External Memory argumented Recurrent Neural Networks (HEM-RNN).

Prerequisties

Results

Copy alt_tag NTM Memory Use During the Copy Task alt_tag

Repeat Copy (in progress)

Associative Recall (in progress)

Dynamic N-Grams (in progress)

Priority Sort (in progress)

Usage

To train a copy task:

    $ python main.py

Future works

  • Training HEM-RNN to learning repeat copy.
  • Training HEM-RNN to learning associative recall.
  • Training HEM-RNN to learning dynamical n-grams.
  • Training HEM-RNN to learning priority sort.
  • Using HEM-RNN for other natural language processing tasks such as neural language model.

Author

Zhibin Quan / @SigmaQuan

hem-rnn's People

Watchers

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