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@ -9,18 +9,18 @@ This repository provides tutorial code for deep learning researchers to learn [P
## Table of Contents
* [PyTorch Basics](https://github.com/yunjey/pytorch-tutorial/blob/master/00%20-%20PyTorch%20Basics/main.py)
* [Linear Regression](https://github.com/yunjey/pytorch-tutorial/blob/master/04%20-%20Linear%20Regression/main.py)
* [Logistic Regression](https://github.com/yunjey/pytorch-tutorial/blob/master/05%20-%20Logistic%20Regression/main.py)
* [Feedforward Neural Network](https://github.com/yunjey/pytorch-tutorial/blob/master/01%20-%20Feedforward%20Neural%20Network/main.py)
* [Convolutional Neural Network](https://github.com/yunjey/pytorch-tutorial/blob/master/02%20-%20Convolutional%20Neural%20Network/main.py)
* [Deep Residual Network](https://github.com/yunjey/pytorch-tutorial/blob/master/03%20-%20Deep%20Residual%20Network/main-gpu.py)
* [Recurrent Neural Network](https://github.com/yunjey/pytorch-tutorial/blob/master/06%20-%20Recurrent%20Neural%20Network/main.py)
* [Bidirectional Recurrent Neural Network](https://github.com/yunjey/pytorch-tutorial/blob/master/07%20-%20Bidirectional%20Recurrent%20Neural%20Network/main.py)
* [Language Model (RNNLM)](https://github.com/yunjey/pytorch-tutorial/blob/master/09%20-%20Language%20Model/main-gpu.py)
* [PyTorch Basics](https://github.com/yunjey/pytorch-tutorial/tree/master/tutorials/00%20-%20PyTorch%20Basics/main.py)
* [Linear Regression](https://github.com/yunjey/pytorch-tutorial/blob/master/tutorials/01%20-%20Linear%20Regression/main.py)
* [Logistic Regression](https://github.com/yunjey/pytorch-tutorial/blob/master/tutorials/02%20-%20Logistic%20Regression/main.py)
* [Feedforward Neural Network](https://github.com/yunjey/pytorch-tutorial/blob/master/tutorials/03%20-%20Feedforward%20Neural%20Network/main.py)
* [Convolutional Neural Network](https://github.com/yunjey/pytorch-tutorial/blob/master/tutorials/04%20-%20Convolutional%20Neural%20Network/main.py)
* [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)
* Image Captioning (CNN-RNN)
* [Generative Adversarial Network](https://github.com/yunjey/pytorch-tutorial/blob/master/08%20-%20Generative%20Adversarial%20Network/main.py)
* [Deep Q-Network and Q-learning (WIP)](https://github.com/yunjey/pytorch-tutorial/blob/master/10%20-%20Deep%20Q%20Network/dqn13.py)
* [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)
<br/>
@ -28,7 +28,7 @@ This repository provides tutorial code for deep learning researchers to learn [P
## Getting Started
```bash
$ git clone https://github.com/yunjey/pytorch-tutorial.git
$ cd pytorch-tutorial/project/
$ cd pytorch-tutorial/tutorials/project_path
$ python main.py # cpu version
$ python main-gpu.py # gpu version
```