@@ -11,23 +11,22 @@ This repository provides tutorial code for deep learning researchers to learn [P
1111
1212#### 1. Basics  
1313*  [ PyTorch Basics] ( https://github.com/yunjey/pytorch-tutorial/tree/master/tutorials/01-basics/pytorch_basics/main.py ) 
14- *  [ Linear Regression] ( https://github.com/yunjey/pytorch-tutorial/tree/master/tutorials/01-basics/linear_regression/main.py#L24-L31  ) 
15- *  [ Logistic Regression] ( https://github.com/yunjey/pytorch-tutorial/tree/master/tutorials/01-basics/logistic_regression/main.py#L35-L42  ) 
16- *  [ Feedforward Neural Network] ( https://github.com/yunjey/pytorch-tutorial/tree/master/tutorials/01-basics/feedforward_neural_network/main.py#L36-L47  ) 
14+ *  [ Linear Regression] ( https://github.com/yunjey/pytorch-tutorial/tree/master/tutorials/01-basics/linear_regression/main.py#L22-L23  ) 
15+ *  [ Logistic Regression] ( https://github.com/yunjey/pytorch-tutorial/tree/master/tutorials/01-basics/logistic_regression/main.py#L33-L34  ) 
16+ *  [ Feedforward Neural Network] ( https://github.com/yunjey/pytorch-tutorial/tree/master/tutorials/01-basics/feedforward_neural_network/main.py#L37-L49  ) 
1717
1818#### 2. Intermediate  
19- *  [ Convolutional Neural Network] ( https://github.com/yunjey/pytorch-tutorial/tree/master/tutorials/02-intermediate/convolutional_neural_network/main.py#L33-L53 ) 
20- *  [ Deep Residual Network] ( https://github.com/yunjey/pytorch-tutorial/tree/master/tutorials/02-intermediate/deep_residual_network/main.py#L67-L103 ) 
21- *  [ Recurrent Neural Network] ( https://github.com/yunjey/pytorch-tutorial/tree/master/tutorials/02-intermediate/recurrent_neural_network/main.py#L38-L56 ) 
22- *  [ Bidirectional Recurrent Neural Network] ( https://github.com/yunjey/pytorch-tutorial/tree/master/tutorials/02-intermediate/bidirectional_recurrent_neural_network/main.py#L38-L57 ) 
23- *  [ Language Model (RNN-LM)] ( https://github.com/yunjey/pytorch-tutorial/tree/master/tutorials/02-intermediate/language_model/main.py#L28-L53 ) 
24- *  [ Generative Adversarial Network] ( https://github.com/yunjey/pytorch-tutorial/blob/master/tutorials/02-intermediate/generative_adversarial_network/main.py#L34-L50 ) 
19+ *  [ Convolutional Neural Network] ( https://github.com/yunjey/pytorch-tutorial/tree/master/tutorials/02-intermediate/convolutional_neural_network/main.py#L35-L56 ) 
20+ *  [ Deep Residual Network] ( https://github.com/yunjey/pytorch-tutorial/tree/master/tutorials/02-intermediate/deep_residual_network/main.py#L76-L113 ) 
21+ *  [ Recurrent Neural Network] ( https://github.com/yunjey/pytorch-tutorial/tree/master/tutorials/02-intermediate/recurrent_neural_network/main.py#L39-L58 ) 
22+ *  [ Bidirectional Recurrent Neural Network] ( https://github.com/yunjey/pytorch-tutorial/tree/master/tutorials/02-intermediate/bidirectional_recurrent_neural_network/main.py#L39-L58 ) 
23+ *  [ Language Model (RNN-LM)] ( https://github.com/yunjey/pytorch-tutorial/tree/master/tutorials/02-intermediate/language_model/main.py#L30-L50 ) 
2524
2625#### 3. Advanced  
27- *  [ Image Captioning (CNN-RNN)] ( https://github.com/yunjey/pytorch-tutorial/tree/master/tutorials/03-advanced/image_captioning ) 
28- *  [ Deep Convolutional GAN (DCGAN)] ( https://github.com/yunjey/pytorch-tutorial/tree/master/tutorials/03-advanced/deep_convolutional_gan ) 
29- *  [ Variational Auto-Encoder] ( https://github.com/yunjey/pytorch-tutorial/tree/master/tutorials/03-advanced/variational_auto_encoder ) 
26+ *  [ Generative Adversarial Networks] ( https://github.com/yunjey/pytorch-tutorial/blob/master/tutorials/03-advanced/generative_adversarial_network/main.py#L41-L57 ) 
27+ *  [ Variational Auto-Encoder] ( https://github.com/yunjey/pytorch-tutorial/blob/master/tutorials/03-advanced/variational_autoencoder/main.py#L38-L65 ) 
3028*  [ Neural Style Transfer] ( https://github.com/yunjey/pytorch-tutorial/tree/master/tutorials/03-advanced/neural_style_transfer ) 
29+ *  [ Image Captioning (CNN-RNN)] ( https://github.com/yunjey/pytorch-tutorial/tree/master/tutorials/03-advanced/image_captioning ) 
3130
3231#### 4. Utilities  
3332*  [ TensorBoard in PyTorch] ( https://github.com/yunjey/pytorch-tutorial/tree/master/tutorials/04-utils/tensorboard ) 
@@ -39,16 +38,15 @@ This repository provides tutorial code for deep learning researchers to learn [P
3938## Getting Started  
4039``` bash 
4140$ git clone https://github.com/yunjey/pytorch-tutorial.git
42- $ cd  pytorch-tutorial/tutorials/project_path
43- $ python main.py               #  cpu version
44- $ python main-gpu.py           #  gpu version
41+ $ cd  pytorch-tutorial/tutorials/PATH_TO_PROJECT
42+ $ python main.py
4543``` 
4644
4745<br />
4846
4947## Dependencies  
5048*  [ Python 2.7 or 3.5+] ( https://www.continuum.io/downloads ) 
51- *  [ PyTorch 0.3 .0] ( http://pytorch.org/ ) 
49+ *  [ PyTorch 0.4 .0] ( http://pytorch.org/ ) 
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