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TensorFlow Examples

This project use TensorFlow framework to do many interesting applications. Many popular deep leaning architecture will be implemented is this project, including Neural Networks, RNN, LSTM, Auto-encoder, CNN, etc.

Examples

  1. Basic
    Basic models

  2. Sentiment Classification
    Neural Network (NN) and Convolutional NN (CNN) for classifying tweets into 3 classes, negative (0), neutral (2), positive (4).

  3. Poetry Generate
    Chinese poetry generation using LSTM

  4. Char RNN
    Use Char_RNN to generate Enlighs sentence trained with tiny shakespeare corpus.

  5. Chitchat Bot
    Use movie dialog corpus to train a simple chit chat bot.

  6. LSTM for Text Classification
    Use LSTM model to classify texts, including char level and word level.

  7. Chinese Speech Recognition
    Use TensorFlow to train a Chinese Speech Recognition (ASR).

  8. Gender classification according to Chinese Name
    Gender classification using Chinese names.

  9. CAPTCHA identification
    CAPTCHA identification using cnn-rnn

Environment

  • TensorFlow 0.12.1
  • Python 3.5.1
  • OS: Windows 10 or Ubuntu 16.04

Contact

Yunchao He (yunchaohe@gmail.com)
Weibo: @Yunchao_He