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@@ -23,7 +23,7 @@ This repository provides tutorial code for deep learning researchers to learn [P
* [Bidirectional Recurrent Neural Network](https://github.com/yunjey/pytorch-tutorial/blob/master/tutorials/07%20-%20Bidirectional%20Recurrent%20Neural%20Network/main.py#L38-L57)
* [Language Model (RNNLM)](https://github.com/yunjey/pytorch-tutorial/blob/master/tutorials/08%20-%20Language%20Model/main.py#L28-L53)
* [Image Captioning (CNN-RNN)](https://github.com/yunjey/pytorch-tutorial/tree/master/tutorials/09%20-%20Image%20Captioning)
* [Generative Adversarial Network](https://github.com/yunjey/pytorch-tutorial/blob/master/tutorials/10%20-%20Generative%20Adversarial%20Network/main.py#L26-L49)
* [Generative Adversarial Network](https://github.com/yunjey/pytorch-tutorial/blob/master/tutorials/10%20-%20Generative%20Adversarial%20Network/main.py#L25-L51)
* [Deep Convolutional Generative Adversarial Network](https://github.com/yunjey/pytorch-tutorial/blob/master/tutorials/11%20-%20Deep%20Convolutional%20Generative%20Adversarial%20Network/main.py#L32-L50)
* [Deep Q-Network and Q-learning (WIP)](https://github.com/yunjey/pytorch-tutorial/blob/master/tutorials/12%20-%20Deep%20Q%20Network/dqn13.py)