This commit is contained in:
yunjey
2017-03-11 15:23:18 +09:00

View File

@ -17,10 +17,10 @@ This repository provides tutorial code for deep learning researchers to learn [P
* [Deep Residual Network](https://github.com/yunjey/pytorch-tutorial/blob/master/tutorials/05%20-%20Deep%20Residual%20Network/main.py)
* [Recurrent Neural Network](https://github.com/yunjey/pytorch-tutorial/blob/master/tutorials/06%20-%20Recurrent%20Neural%20Network/main.py)
* [Bidirectional Recurrent Neural Network](https://github.com/yunjey/pytorch-tutorial/blob/master/tutorials/07%20-%20Bidirectional%20Recurrent%20Neural%20Network/main.py)
* [Language Model (RNNLM)](https://github.com/yunjey/pytorch-tutorial/blob/master/tutorials/09%20-%20Language%20Model/main.py)
* [Language Model (RNNLM)](https://github.com/yunjey/pytorch-tutorial/blob/master/tutorials/08%20-%20Language%20Model/main.py)
* Image Captioning (CNN-RNN)
* [Generative Adversarial Network](https://github.com/yunjey/pytorch-tutorial/blob/master/tutorials/08%20-%20Generative%20Adversarial%20Network/main.py)
* [Deep Q-Network and Q-learning (WIP)](https://github.com/yunjey/pytorch-tutorial/blob/master/tutorials/10%20-%20Deep%20Q%20Network/dqn13.py)
* [Generative Adversarial Network](https://github.com/yunjey/pytorch-tutorial/blob/master/tutorials/10%20-%20Generative%20Adversarial%20Network/main.py)
* [Deep Q-Network and Q-learning (WIP)](https://github.com/yunjey/pytorch-tutorial/blob/master/tutorials/11%20-%20Deep%20Q%20Network/dqn13.py)
<br/>