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@ -16,28 +16,28 @@ In these tutorials for pyTorch, we will build our first Neural Network and try t
* 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](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))
* [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))
* [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))
* 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](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))
* [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))
* [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))
* [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))
* [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))
* [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))
* 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)
* [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)
* [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))
* [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-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))
* [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))
* [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))
* [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)
* 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](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))
* [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))
* [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))
* [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))
**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.