Skip to content

Navigation Menu

Sign in
Appearance settings

Search code, repositories, users, issues, pull requests...

Provide feedback

We read every piece of feedback, and take your input very seriously.

Saved searches

Use saved searches to filter your results more quickly

Sign up
Appearance settings

ezrealzhang/finch

Folders and files

NameName
Last commit message
Last commit date

Latest commit

History

2 Commits

Repository files navigation


Why This Project?

  • simplifies code by using high-level TF interfaces: tf.layers, tf.data, tf.estimator;

  • produces lots of clean Notebooks to make life easy;

  • can be run on CPU in reasonable time;


Contents


Requirements

  • Python 3 and Jupyter Notebook are required

    (CPU User) $ pip3 install tensorflow sklearn scipy bunch tqdm wget
    (GPU User) $ pip3 install tensorflow-gpu sklearn scipy bunch tqdm wget
    

Word Embedding(词向量)

Text Classification(文本分类)

Text Generation(文本生成)

Text Matching(文本匹配)

Sequence Labelling(序列标记)

Sequence to Sequence(序列到序列)

  • Learning to Sort(机器排序)

  • Learning to Dialog(机器对话)

  • Learning to Reconstruct(重建句子)

  • Learning to Control(定向重建句子)

Question Answering(问题回答)

  • Memory Network(记忆网络)

Knowledge Graph(知识图谱)

TensorFlow Detail(TensorFlow 细节)

About

Deep NLP Examples in TensorFlow 深度学习与自然语言处理

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

Contributors

Languages

  • Jupyter Notebook 85.8%
  • Python 14.2%

AltStyle によって変換されたページ (->オリジナル) /