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<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>

Expand All @@ -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
Expand All @@ -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>

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