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14 | 14 |
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15 | 15 | In these tutorials for pyTorch, we will build our first Neural Network and try to build some advanced Neural Network architectures developed recent years. |
16 | 16 |
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| 17 | +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. |
17 | 18 |
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18 | 19 | * pyTorch basic |
19 | | - * [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)) |
20 | | - * [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)) |
21 | | - * [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)) |
| 20 | + * [torch and numpy](https://github.com/MorvanZhou/PyTorch-Tutorial/blob/master/tutorial-contents/201_torch_numpy.py) |
| 21 | + * [Variable](https://github.com/MorvanZhou/PyTorch-Tutorial/blob/master/tutorial-contents/202_variable.py) |
| 22 | + * [Activation](https://github.com/MorvanZhou/PyTorch-Tutorial/blob/master/tutorial-contents/203_activation.py) |
22 | 23 | * Build your first network |
23 | | - * [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)) |
24 | | - * [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)) |
25 | | - * [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)) |
26 | | - * [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)) |
27 | | - * [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)) |
28 | | - * [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)) |
| 24 | + * [Regression](https://github.com/MorvanZhou/PyTorch-Tutorial/blob/master/tutorial-contents/301_regression.py) |
| 25 | + * [Classification](https://github.com/MorvanZhou/PyTorch-Tutorial/blob/master/tutorial-contents/302_classification.py) |
| 26 | + * [An easy way](https://github.com/MorvanZhou/PyTorch-Tutorial/blob/master/tutorial-contents/303_build_nn_quickly.py) |
| 27 | + * [Save and reload](https://github.com/MorvanZhou/PyTorch-Tutorial/blob/master/tutorial-contents/304_save_reload.py) |
| 28 | + * [Train on batch](https://github.com/MorvanZhou/PyTorch-Tutorial/blob/master/tutorial-contents/305_batch_train.py) |
| 29 | + * [Optimizers](https://github.com/MorvanZhou/PyTorch-Tutorial/blob/master/tutorial-contents/306_optimizer.py) |
29 | 30 | * Advanced neural network |
30 | | - * [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)) |
31 | | - * [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)) |
32 | | - * [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)) |
33 | | - * [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)) |
34 | | - * [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)) |
35 | | - * [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) |
| 31 | + * [CNN](https://github.com/MorvanZhou/PyTorch-Tutorial/blob/master/tutorial-contents/401_CNN.py) |
| 32 | + * [RNN-Classification](https://github.com/MorvanZhou/PyTorch-Tutorial/blob/master/tutorial-contents/402_RNN_classifier.py) |
| 33 | + * [RNN-Regression](https://github.com/MorvanZhou/PyTorch-Tutorial/blob/master/tutorial-contents/403_RNN_regressor.py) |
| 34 | + * [AutoEncoder](https://github.com/MorvanZhou/PyTorch-Tutorial/blob/master/tutorial-contents/404_autoencoder.py) |
| 35 | + * [DQN Reinforcement Learning](https://github.com/MorvanZhou/PyTorch-Tutorial/blob/master/tutorial-contents/405_DQN_Reinforcement_learning.py) |
| 36 | + * [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) |
36 | 37 | * Others (WIP) |
37 | | - * [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)) |
38 | | - * [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)) |
39 | | - * [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)) |
40 | | - * [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)) |
| 38 | + * [Why torch dynamic](https://github.com/MorvanZhou/PyTorch-Tutorial/blob/master/tutorial-contents/501_why_torch_dynamic_graph.py) |
| 39 | + * [Train on GPU](https://github.com/MorvanZhou/PyTorch-Tutorial/blob/master/tutorial-contents/502_GPU.py) |
| 40 | + * [Dropout](https://github.com/MorvanZhou/PyTorch-Tutorial/blob/master/tutorial-contents/503_dropout.py) |
| 41 | + * [Batch Normalization](https://github.com/MorvanZhou/PyTorch-Tutorial/blob/master/tutorial-contents/504_batch_normalization.py) |
41 | 42 |
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42 | 43 | **For Chinese speakers: All methods mentioned below have their video and text tutorial in Chinese. |
43 | 44 | Visit [莫烦 Python](https://morvanzhou.github.io/tutorials/) for more. |
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