diff --git a/README.md b/README.md
index 6e850970..5430147b 100644
--- a/README.md
+++ b/README.md
@@ -10,27 +10,27 @@ This repository provides tutorial code for deep learning researchers to learn [P
 ## Table of Contents
 
 #### 1. Basics
-* [PyTorch Basics](https://github.com/yunjey/pytorch-tutorial/tree/master/tutorials/01-basics/pytorch_basics/main.py)
-* [Linear Regression](https://github.com/yunjey/pytorch-tutorial/tree/master/tutorials/01-basics/linear_regression/main.py#L24-L31)
-* [Logistic Regression](https://github.com/yunjey/pytorch-tutorial/tree/master/tutorials/01-basics/logistic_regression/main.py#L35-L42)
-* [Feedforward Neural Network](https://github.com/yunjey/pytorch-tutorial/tree/master/tutorials/01-basics/feedforward_neural_network/main.py#L36-L47)
+* [PyTorch Basics](../../tree/master/tutorials/01-basics/pytorch_basics/main.py)
+* [Linear Regression](../../tree/master/tutorials/01-basics/linear_regression/main.py#L24-L31)
+* [Logistic Regression](../../tree/master/tutorials/01-basics/logistic_regression/main.py#L35-L42)
+* [Feedforward Neural Network](../../tree/master/tutorials/01-basics/feedforward_neural_network/main.py#L36-L47)
 
 #### 2. Intermediate
-* [Convolutional Neural Network](https://github.com/yunjey/pytorch-tutorial/tree/master/tutorials/02-intermediate/convolutional_neural_network/main.py#L33-L53)
-* [Deep Residual Network](https://github.com/yunjey/pytorch-tutorial/tree/master/tutorials/02-intermediate/deep_residual_network/main.py#L67-L103)
-* [Recurrent Neural Network](https://github.com/yunjey/pytorch-tutorial/tree/master/tutorials/02-intermediate/recurrent_neural_network/main.py#L38-L56)
-* [Bidirectional Recurrent Neural Network](https://github.com/yunjey/pytorch-tutorial/tree/master/tutorials/02-intermediate/bidirectional_recurrent_neural_network/main.py#L38-L57)
-* [Language Model (RNN-LM)](https://github.com/yunjey/pytorch-tutorial/tree/master/tutorials/02-intermediate/language_model/main.py#L28-L53)
-* [Generative Adversarial Network](https://github.com/yunjey/pytorch-tutorial/blob/master/tutorials/02-intermediate/generative_adversarial_network/main.py#L34-L50)
+* [Convolutional Neural Network](../../tree/master/tutorials/02-intermediate/convolutional_neural_network/main.py#L33-L53)
+* [Deep Residual Network](../../tree/master/tutorials/02-intermediate/deep_residual_network/main.py#L67-L103)
+* [Recurrent Neural Network](../../tree/master/tutorials/02-intermediate/recurrent_neural_network/main.py#L38-L56)
+* [Bidirectional Recurrent Neural Network](../../tree/master/tutorials/02-intermediate/bidirectional_recurrent_neural_network/main.py#L38-L57)
+* [Language Model (RNN-LM)](../../tree/master/tutorials/02-intermediate/language_model/main.py#L28-L53)
+* [Generative Adversarial Network](../../blob/master/tutorials/02-intermediate/generative_adversarial_network/main.py#L34-L50)
 
 #### 3. Advanced
-* [Image Captioning (CNN-RNN)](https://github.com/yunjey/pytorch-tutorial/tree/master/tutorials/03-advanced/image_captioning)
-* [Deep Convolutional GAN (DCGAN)](https://github.com/yunjey/pytorch-tutorial/tree/master/tutorials/03-advanced/deep_convolutional_gan)
-* [Variational Auto-Encoder](https://github.com/yunjey/pytorch-tutorial/tree/master/tutorials/03-advanced/variational_auto_encoder)
-* [Neural Style Transfer](https://github.com/yunjey/pytorch-tutorial/tree/master/tutorials/03-advanced/neural_style_transfer)
+* [Image Captioning (CNN-RNN)](../../tree/master/tutorials/03-advanced/image_captioning)
+* [Deep Convolutional GAN (DCGAN)](../../tree/master/tutorials/03-advanced/deep_convolutional_gan)
+* [Variational Auto-Encoder](../../tree/master/tutorials/03-advanced/variational_auto_encoder)
+* [Neural Style Transfer](../../tree/master/tutorials/03-advanced/neural_style_transfer)
 
 #### 4. Utilities
-* [TensorBoard in PyTorch](https://github.com/yunjey/pytorch-tutorial/tree/master/tutorials/04-utils/tensorboard)
+* [TensorBoard in PyTorch](../../tree/master/tutorials/04-utils/tensorboard)
 
 
 
@@ -38,7 +38,7 @@ This repository provides tutorial code for deep learning researchers to learn [P
 
 ## Getting Started
 ```bash
-$ git clone https://github.com/yunjey/pytorch-tutorial.git
+$ git clone ../...git
 $ cd pytorch-tutorial/tutorials/project_path
 $ python main.py               # cpu version
 $ python main-gpu.py           # gpu version
@@ -55,5 +55,5 @@ $ python main-gpu.py           # gpu version
 <br/>
 
 
-## Author
-Yunjey Choi/ [@yunjey](https://github.com/yunjey)
\ No newline at end of file
+## Fork from
+Yunjey Choi/ [@yunjey](https://github.com/yunjey)
diff --git a/tutorials/01-basics/pytorch_basics/main.py b/tutorials/01-basics/pytorch_basics/main.py
index 17a50707..6b48d9b2 100644
--- a/tutorials/01-basics/pytorch_basics/main.py
+++ b/tutorials/01-basics/pytorch_basics/main.py
@@ -20,6 +20,7 @@
 
 #======================= Basic autograd example 1 =======================#
 # Create tensors.
+# 在这里进行运算只能是Variable与Variable，或者Tensor与Tensor，不能混用
 x = Variable(torch.Tensor([1]), requires_grad=True)
 w = Variable(torch.Tensor([2]), requires_grad=True)
 b = Variable(torch.Tensor([3]), requires_grad=True)
@@ -162,4 +163,4 @@ def __len__(self):
 
 # Save and load only the model parameters(recommended).
 torch.save(resnet.state_dict(), 'params.pkl')
-resnet.load_state_dict(torch.load('params.pkl'))
\ No newline at end of file
+resnet.load_state_dict(torch.load('params.pkl'))