@@ -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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