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Morvan Zhou
2018-01-18 22:29:43 +11:00
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@ -33,6 +33,7 @@ which is a great contribution to this tutorial.
* [RNN-Regression](https://github.com/MorvanZhou/PyTorch-Tutorial/blob/master/tutorial-contents/403_RNN_regressor.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) * [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) * [DQN Reinforcement Learning](https://github.com/MorvanZhou/PyTorch-Tutorial/blob/master/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)](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) * [Why torch dynamic](https://github.com/MorvanZhou/PyTorch-Tutorial/blob/master/tutorial-contents/501_why_torch_dynamic_graph.py)