lubyruffy / 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.

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. Sentiment Classification

2. Poetry Generate

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 ([email protected])