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In these tutorials for pyTorch, we will build our first Neural Network and try to build some advanced Neural Network architectures developed recent years. 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) great contribution who added [notebook files](https://github.com/MorvanZhou/PyTorch-Tutorial/tree/master/tutorial-contents-notebooks) for this tutorial.
* pyTorch basic * pyTorch basic
* [torch and numpy](https://github.com/MorvanZhou/PyTorch-Tutorial/blob/master/tutorial-contents/201_torch_numpy.py) ([Notebook](https://github.com/MorvanZhou/PyTorch-Tutorial/blob/master/tutorial-contents-notebooks/201_torch_numpy.ipynb)) * [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) ([Notebook](https://github.com/MorvanZhou/PyTorch-Tutorial/blob/master/tutorial-contents-notebooks/202_variable.ipynb)) * [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) ([Notebook](https://github.com/MorvanZhou/PyTorch-Tutorial/blob/master/tutorial-contents-notebooks/203_activation.ipynb)) * [Activation](https://github.com/MorvanZhou/PyTorch-Tutorial/blob/master/tutorial-contents/203_activation.py)
* Build your first network * Build your first network
* [Regression](https://github.com/MorvanZhou/PyTorch-Tutorial/blob/master/tutorial-contents/301_regression.py) ([Notebook](https://github.com/MorvanZhou/PyTorch-Tutorial/blob/master/tutorial-contents-notebooks/301_regression.ipynb)) * [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) ([Notebook](https://github.com/MorvanZhou/PyTorch-Tutorial/blob/master/tutorial-contents-notebooks/302_classification.ipynb)) * [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) ([Notebook](https://github.com/MorvanZhou/PyTorch-Tutorial/blob/master/tutorial-contents-notebooks/303_build_nn_quickly.ipynb)) * [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) ([Notebook](https://github.com/MorvanZhou/PyTorch-Tutorial/blob/master/tutorial-contents-notebooks/304_save_reload.ipynb)) * [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) ([Notebook](https://github.com/MorvanZhou/PyTorch-Tutorial/blob/master/tutorial-contents-notebooks/305_batch_train.ipynb)) * [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) ([Notebook](https://github.com/MorvanZhou/PyTorch-Tutorial/blob/master/tutorial-contents-notebooks/306_optimizer.ipynb)) * [Optimizers](https://github.com/MorvanZhou/PyTorch-Tutorial/blob/master/tutorial-contents/306_optimizer.py)
* Advanced neural network * Advanced neural network
* [CNN](https://github.com/MorvanZhou/PyTorch-Tutorial/blob/master/tutorial-contents/401_CNN.py) ([Notebook](https://github.com/MorvanZhou/PyTorch-Tutorial/blob/master/tutorial-contents-notebooks/401_CNN.ipynb)) * [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) ([Notebook](https://github.com/MorvanZhou/PyTorch-Tutorial/blob/master/tutorial-contents-notebooks/402_RNN.ipynb)) * [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) ([Notebook](https://github.com/MorvanZhou/PyTorch-Tutorial/blob/master/tutorial-contents-notebooks/403_RNN_regressor.ipynb)) * [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) ([Notebook](https://github.com/MorvanZhou/PyTorch-Tutorial/blob/master/tutorial-contents-notebooks/404_autoencoder.ipynb)) * [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) ([Notebook](https://github.com/MorvanZhou/PyTorch-Tutorial/blob/master/tutorial-contents-notebooks/405_DQN_Reinforcement_learning.ipynb)) * [DQN Reinforcement Learning](https://github.com/MorvanZhou/PyTorch-Tutorial/blob/master/tutorial-contents/405_DQN_Reinforcement_learning.py)
* [GAN (Generative Adversarial Nets)](https://github.com/MorvanZhou/PyTorch-Tutorial/blob/master/tutorial-contents/406_GAN.py) ([Notebook](https://github.com/MorvanZhou/PyTorch-Tutorial/blob/master/tutorial-contents-notebooks/406_GAN.ipynb)) / [Conditional GAN](https://github.com/MorvanZhou/PyTorch-Tutorial/blob/master/tutorial-contents/406_conditional_GAN.py) * [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)
* Others (WIP) * Others (WIP)
* [Why torch dynamic](https://github.com/MorvanZhou/PyTorch-Tutorial/blob/master/tutorial-contents/501_why_torch_dynamic_graph.py) ([Notebook](https://github.com/MorvanZhou/PyTorch-Tutorial/blob/master/tutorial-contents-notebooks/501_why_torch_dynamic_graph.ipynb)) * [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) ([Notebook](https://github.com/MorvanZhou/PyTorch-Tutorial/blob/master/tutorial-contents-notebooks/502_GPU.ipynb)) * [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) ([Notebook](https://github.com/MorvanZhou/PyTorch-Tutorial/blob/master/tutorial-contents-notebooks/503_dropout.ipynb)) * [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) ([Notebook](https://github.com/MorvanZhou/PyTorch-Tutorial/blob/master/tutorial-contents-notebooks/504_batch_normalization.ipynb)) * [Batch Normalization](https://github.com/MorvanZhou/PyTorch-Tutorial/blob/master/tutorial-contents/504_batch_normalization.py)
**For Chinese speakers: All methods mentioned below have their video and text tutorial in Chinese. **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://morvanzhou.github.io/tutorials/) for more.