Skip to content

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.

Notifications You must be signed in to change notification settings

candlewill/TensorFlow_Examples

Repository files navigation

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

About

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.

Topics

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published