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

0. Basic
   Basic models

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

2. Poetry Generate
   Chinese poetry generation using LSTM

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

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

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

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

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

8. 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