update

Author: morvanzhou

README.md

@@ -1,6 +1,6 @@
 <p align="center">
     <a href="http://pytorch.org/" target="_blank">
-    <img width="40%" src="https://github.com/MorvanZhou/PyTorch-Tutorial/blob/master/logo.png" style="max-width:100%;">
+    <img width="40%" src="logo.png" style="max-width:100%;">
     </a>
 </p>
 
@@ -13,85 +13,85 @@
 
 In these tutorials for pyTorch, we will build our first Neural Network and try to build some advanced Neural Network architectures developed recent years.
 
-Thanks for [liufuyang's](https://github.com/liufuyang) [**notebook files**](https://github.com/MorvanZhou/PyTorch-Tutorial/tree/master/tutorial-contents-notebooks)
+Thanks for [liufuyang's](https://github.com/liufuyang) [**notebook files**](tutorial-contents-notebooks)
 which is a great contribution to this tutorial.
 
 * pyTorch basic
-  * [torch and numpy](https://github.com/MorvanZhou/PyTorch-Tutorial/blob/master/tutorial-contents/201_torch_numpy.py)
-  * [Variable](https://github.com/MorvanZhou/PyTorch-Tutorial/blob/master/tutorial-contents/202_variable.py)
-  * [Activation](https://github.com/MorvanZhou/PyTorch-Tutorial/blob/master/tutorial-contents/203_activation.py)
+  * [torch and numpy](tutorial-contents/201_torch_numpy.py)
+  * [Variable](tutorial-contents/202_variable.py)
+  * [Activation](tutorial-contents/203_activation.py)
 * Build your first network
-  * [Regression](https://github.com/MorvanZhou/PyTorch-Tutorial/blob/master/tutorial-contents/301_regression.py)
-  * [Classification](https://github.com/MorvanZhou/PyTorch-Tutorial/blob/master/tutorial-contents/302_classification.py)
-  * [An easy way](https://github.com/MorvanZhou/PyTorch-Tutorial/blob/master/tutorial-contents/303_build_nn_quickly.py)
-  * [Save and reload](https://github.com/MorvanZhou/PyTorch-Tutorial/blob/master/tutorial-contents/304_save_reload.py)
-  * [Train on batch](https://github.com/MorvanZhou/PyTorch-Tutorial/blob/master/tutorial-contents/305_batch_train.py)
-  * [Optimizers](https://github.com/MorvanZhou/PyTorch-Tutorial/blob/master/tutorial-contents/306_optimizer.py)
+  * [Regression](tutorial-contents/301_regression.py)
+  * [Classification](tutorial-contents/302_classification.py)
+  * [An easy way](tutorial-contents/303_build_nn_quickly.py)
+  * [Save and reload](tutorial-contents/304_save_reload.py)
+  * [Train on batch](tutorial-contents/305_batch_train.py)
+  * [Optimizers](tutorial-contents/306_optimizer.py)
 * Advanced neural network
-  * [CNN](https://github.com/MorvanZhou/PyTorch-Tutorial/blob/master/tutorial-contents/401_CNN.py)
-  * [RNN-Classification](https://github.com/MorvanZhou/PyTorch-Tutorial/blob/master/tutorial-contents/402_RNN_classifier.py)
-  * [RNN-Regression](https://github.com/MorvanZhou/PyTorch-Tutorial/blob/master/tutorial-contents/403_RNN_regressor.py)
-  * [AutoEncoder](https://github.com/MorvanZhou/PyTorch-Tutorial/blob/master/tutorial-contents/404_autoencoder.py)
-  * [DQN Reinforcement Learning](https://github.com/MorvanZhou/PyTorch-Tutorial/blob/master/tutorial-contents/405_DQN_Reinforcement_learning.py)
+  * [CNN](tutorial-contents/401_CNN.py)
+  * [RNN-Classification](tutorial-contents/402_RNN_classifier.py)
+  * [RNN-Regression](tutorial-contents/403_RNN_regressor.py)
+  * [AutoEncoder](tutorial-contents/404_autoencoder.py)
+  * [DQN Reinforcement Learning](tutorial-contents/405_DQN_Reinforcement_learning.py)
   * [A3C Reinforcement Learning](https://github.com/MorvanZhou/pytorch-A3C)
-  * [GAN (Generative Adversarial Nets)](https://github.com/MorvanZhou/PyTorch-Tutorial/blob/master/tutorial-contents/406_GAN.py) / [Conditional GAN](https://github.com/MorvanZhou/PyTorch-Tutorial/blob/master/tutorial-contents/406_conditional_GAN.py)
+  * [GAN (Generative Adversarial Nets)](tutorial-contents/406_GAN.py) / [Conditional GAN](tutorial-contents/406_conditional_GAN.py)
 * Others (WIP)
-  * [Why torch dynamic](https://github.com/MorvanZhou/PyTorch-Tutorial/blob/master/tutorial-contents/501_why_torch_dynamic_graph.py)
-  * [Train on GPU](https://github.com/MorvanZhou/PyTorch-Tutorial/blob/master/tutorial-contents/502_GPU.py)
-  * [Dropout](https://github.com/MorvanZhou/PyTorch-Tutorial/blob/master/tutorial-contents/503_dropout.py)
-  * [Batch Normalization](https://github.com/MorvanZhou/PyTorch-Tutorial/blob/master/tutorial-contents/504_batch_normalization.py)
+  * [Why torch dynamic](tutorial-contents/501_why_torch_dynamic_graph.py)
+  * [Train on GPU](tutorial-contents/502_GPU.py)
+  * [Dropout](tutorial-contents/503_dropout.py)
+  * [Batch Normalization](tutorial-contents/504_batch_normalization.py)
 
 **For Chinese speakers: All methods mentioned below have their video and text tutorial in Chinese.
-Visit [莫烦 Python](https://morvanzhou.github.io/tutorials/) for more.
+Visit [莫烦 Python](https://mofanpy.com/tutorials/) for more.
 You can watch my [Youtube channel](https://www.youtube.com/channel/UCdyjiB5H8Pu7aDTNVXTTpcg) as well.**
 
 
-### [Regression](https://github.com/MorvanZhou/PyTorch-Tutorial/blob/master/tutorial-contents/301_regression.py)
+### [Regression](tutorial-contents/301_regression.py)
 
-<a href="https://github.com/MorvanZhou/PyTorch-Tutorial/blob/master/tutorial-contents/301_regression.py">
-    <img class="course-image" src="https://morvanzhou.github.io/static/results/torch/1-1-2.gif">
+<a href="tutorial-contents/301_regression.py">
+    <img class="course-image" src="https://mofanpy.com/static/results/torch/1-1-2.gif">
 </a>
 
-### [Classification](https://github.com/MorvanZhou/PyTorch-Tutorial/blob/master/tutorial-contents/302_classification.py)
+### [Classification](tutorial-contents/302_classification.py)
 
-<a href="https://github.com/MorvanZhou/PyTorch-Tutorial/blob/master/tutorial-contents/302_classification.py">
-    <img class="course-image" src="https://morvanzhou.github.io/static/results/torch/1-1-3.gif">
+<a href="tutorial-contents/302_classification.py">
+    <img class="course-image" src="https://mofanpy.com/static/results/torch/1-1-3.gif">
 </a>
 
-### [CNN](https://github.com/MorvanZhou/PyTorch-Tutorial/blob/master/tutorial-contents/401_CNN.py)
-<a href="https://github.com/MorvanZhou/PyTorch-Tutorial/blob/master/tutorial-contents/401_CNN.py">
-    <img class="course-image" src="https://morvanzhou.github.io/static/results/torch/4-1-2.gif" >
+### [CNN](tutorial-contents/401_CNN.py)
+<a href="tutorial-contents/401_CNN.py">
+    <img class="course-image" src="https://mofanpy.com/static/results/torch/4-1-2.gif" >
 </a>
 
-### [RNN](https://github.com/MorvanZhou/PyTorch-Tutorial/blob/master/tutorial-contents/403_RNN_regressor.py)
+### [RNN](tutorial-contents/403_RNN_regressor.py)
 
-<a href="https://github.com/MorvanZhou/PyTorch-Tutorial/blob/master/tutorial-contents/403_RNN_regressor.py">
-    <img class="course-image" src="https://morvanzhou.github.io/static/results/torch/4-3-1.gif" >
+<a href="tutorial-contents/403_RNN_regressor.py">
+    <img class="course-image" src="https://mofanpy.com/static/results/torch/4-3-1.gif" >
 </a>
 
-### [Autoencoder](https://github.com/MorvanZhou/PyTorch-Tutorial/blob/master/tutorial-contents/404_autoencoder.py)
+### [Autoencoder](tutorial-contents/404_autoencoder.py)
 
-<a href="https://github.com/MorvanZhou/PyTorch-Tutorial/blob/master/tutorial-contents/403_RNN_regressor.py">
-    <img class="course-image" src="https://morvanzhou.github.io/static/results/torch/4-4-1.gif" >
+<a href="tutorial-contents/403_RNN_regressor.py">
+    <img class="course-image" src="https://mofanpy.com/static/results/torch/4-4-1.gif" >
 </a>
 
-<a href="https://github.com/MorvanZhou/PyTorch-Tutorial/blob/master/tutorial-contents/403_RNN_regressor.py">
-    <img class="course-image" src="https://morvanzhou.github.io/static/results/torch/4-4-2.gif" >
+<a href="tutorial-contents/403_RNN_regressor.py">
+    <img class="course-image" src="https://mofanpy.com/static/results/torch/4-4-2.gif" >
 </a>
 
-### [GAN (Generative Adversarial Nets)](https://github.com/MorvanZhou/PyTorch-Tutorial/blob/master/tutorial-contents/406_GAN.py)
-<a href="https://github.com/MorvanZhou/PyTorch-Tutorial/blob/master/tutorial-contents/406_GAN.py">
-    <img class="course-image" src="https://morvanzhou.github.io/static/results/torch/4-6-1.gif" >
+### [GAN (Generative Adversarial Nets)](tutorial-contents/406_GAN.py)
+<a href="tutorial-contents/406_GAN.py">
+    <img class="course-image" src="https://mofanpy.com/static/results/torch/4-6-1.gif" >
 </a>
 
-### [Dropout](https://github.com/MorvanZhou/PyTorch-Tutorial/blob/master/tutorial-contents/503_dropout.py)
-<a href="https://github.com/MorvanZhou/PyTorch-Tutorial/blob/master/tutorial-contents/503_dropout.py">
-    <img class="course-image" src="https://morvanzhou.github.io/static/results/torch/5-3-1.gif" >
+### [Dropout](tutorial-contents/503_dropout.py)
+<a href="tutorial-contents/503_dropout.py">
+    <img class="course-image" src="https://mofanpy.com/static/results/torch/5-3-1.gif" >
 </a>
 
-### [Batch Normalization](https://github.com/MorvanZhou/PyTorch-Tutorial/blob/master/tutorial-contents/504_batch_normalization.py)
-<a href="https://github.com/MorvanZhou/PyTorch-Tutorial/blob/master/tutorial-contents/504_batch_normalization.py">
-    <img class="course-image" src="https://morvanzhou.github.io/static/results/torch/5-4-2.gif" >
+### [Batch Normalization](tutorial-contents/504_batch_normalization.py)
+<a href="tutorial-contents/504_batch_normalization.py">
+    <img class="course-image" src="https://mofanpy.com/static/results/torch/5-4-2.gif" >
 </a>
 
 # Donation
@@ -108,7 +108,7 @@ You can watch my [Youtube channel](https://www.youtube.com/channel/UCdyjiB5H8Pu7
 
 <div>
   <a href="https://www.patreon.com/morvan">
-    <img src="https://morvanzhou.github.io/static/img/support/patreon.jpg"
+    <img src="https://mofanpy.com/static/img/support/patreon.jpg"
          alt="Patreon"
          height=120></a>
 </div>