91 lines
5.6 KiB
Markdown
91 lines
5.6 KiB
Markdown
<p align="center">
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<a href="http://pytorch.org/" target="_blank">
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<img width="40%" src="https://github.com/MorvanZhou/PyTorch-Tutorial/blob/master/tutorial-contents/logo.png" style="max-width:100%;">
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</a>
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</p>
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---
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<br>
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# pyTorch Tutorials
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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.
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All methods mentioned below have their video and text tutorial in Chinese. Visit [莫烦 Python](https://morvanzhou.github.io/tutorials/) for more.
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If you speak Chinese, you can watch my [Youtube channel](https://www.youtube.com/channel/UCdyjiB5H8Pu7aDTNVXTTpcg) as well.
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* pyTorch basic
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* [torch and numpy](https://github.com/MorvanZhou/PyTorch-Tutorial/blob/master/tutorial-contents/201_torch_numpy.py)
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* [Variable](https://github.com/MorvanZhou/PyTorch-Tutorial/blob/master/tutorial-contents/202_variable.py)
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* [Activation](https://github.com/MorvanZhou/PyTorch-Tutorial/blob/master/tutorial-contents/203_activation.py)
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* Build your first network
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* [Regression](https://github.com/MorvanZhou/PyTorch-Tutorial/blob/master/tutorial-contents/301_regression.py)
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* [Classification](https://github.com/MorvanZhou/PyTorch-Tutorial/blob/master/tutorial-contents/302_classification.py)
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* [An easy way](https://github.com/MorvanZhou/PyTorch-Tutorial/blob/master/tutorial-contents/303_build_nn_quickly.py)
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* [Save and reload](https://github.com/MorvanZhou/PyTorch-Tutorial/blob/master/tutorial-contents/304_save_reload.py)
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* [Train on batch](https://github.com/MorvanZhou/PyTorch-Tutorial/blob/master/tutorial-contents/305_batch_train.py)
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* [Optimizers](https://github.com/MorvanZhou/PyTorch-Tutorial/blob/master/tutorial-contents/306_optimizer.py)
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* Advanced neural network
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* [CNN](https://github.com/MorvanZhou/PyTorch-Tutorial/blob/master/tutorial-contents/401_CNN.py)
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* [RNN-Classification](https://github.com/MorvanZhou/PyTorch-Tutorial/blob/master/tutorial-contents/402_RNN_classifier.py)
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* [RNN-Regression](https://github.com/MorvanZhou/PyTorch-Tutorial/blob/master/tutorial-contents/403_RNN_regressor.py)
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* [AutoEncoder](https://github.com/MorvanZhou/PyTorch-Tutorial/blob/master/tutorial-contents/404_autoencoder.py)
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* [DQN Reinforcement Learning](https://github.com/MorvanZhou/PyTorch-Tutorial/blob/master/tutorial-contents/405_DQN_Reinforcement_learning.py)
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* Others (WIP)
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* [Why torch dynamic](https://github.com/MorvanZhou/PyTorch-Tutorial/blob/master/tutorial-contents/501_why_torch_dynamic_graph.py)
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* [Train on GPU](https://github.com/MorvanZhou/PyTorch-Tutorial/blob/master/tutorial-contents/502_GPU.py)
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* [Dropout](https://github.com/MorvanZhou/PyTorch-Tutorial/blob/master/tutorial-contents/503_dropout.py)
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* [Batch Normalization](https://github.com/MorvanZhou/PyTorch-Tutorial/blob/master/tutorial-contents/504_batch_normalization.py)
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### [Regression](https://github.com/MorvanZhou/PyTorch-Tutorial/blob/master/tutorial-contents/301_regression.py)
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<a href="https://github.com/MorvanZhou/PyTorch-Tutorial/blob/master/tutorial-contents/301_regression.py">
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<img class="course-image" src="https://morvanzhou.github.io/static/results/torch/1-1-2.gif">
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</a>
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### [Classification](https://github.com/MorvanZhou/PyTorch-Tutorial/blob/master/tutorial-contents/302_classification.py)
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<a href="https://github.com/MorvanZhou/PyTorch-Tutorial/blob/master/tutorial-contents/302_classification.py">
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<img class="course-image" src="https://morvanzhou.github.io/static/results/torch/1-1-3.gif">
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</a>
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### [RNN](https://github.com/MorvanZhou/PyTorch-Tutorial/blob/master/tutorial-contents/403_RNN_regressor.py)
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<a href="https://github.com/MorvanZhou/PyTorch-Tutorial/blob/master/tutorial-contents/403_RNN_regressor.py">
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<img class="course-image" src="https://morvanzhou.github.io/static/results/torch/4-3-1.gif" >
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</a>
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### [Autoencoder](https://github.com/MorvanZhou/PyTorch-Tutorial/blob/master/tutorial-contents/404_autoencoder.py)
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<a href="https://github.com/MorvanZhou/PyTorch-Tutorial/blob/master/tutorial-contents/403_RNN_regressor.py">
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<img class="course-image" src="https://morvanzhou.github.io/static/results/torch/4-4-1.gif" >
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</a>
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<a href="https://github.com/MorvanZhou/PyTorch-Tutorial/blob/master/tutorial-contents/403_RNN_regressor.py">
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<img class="course-image" src="https://morvanzhou.github.io/static/results/torch/4-4-2.gif" >
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</a>
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### [Dropout](https://github.com/MorvanZhou/PyTorch-Tutorial/blob/master/tutorial-contents/503_dropout.py)
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<a href="https://github.com/MorvanZhou/PyTorch-Tutorial/blob/master/tutorial-contents/503_dropout.py">
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<img class="course-image" src="https://morvanzhou.github.io/static/results/torch/5-3-1.gif" >
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</a>
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### [Batch Normalization](https://github.com/MorvanZhou/PyTorch-Tutorial/blob/master/tutorial-contents/504_batch_normalization.py)
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<a href="https://github.com/MorvanZhou/PyTorch-Tutorial/blob/master/tutorial-contents/504_batch_normalization.py">
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<img class="course-image" src="https://morvanzhou.github.io/static/results/torch/5-4-2.gif" >
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</a>
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# Donation
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*If this does help you, please consider donating to support me for better tutorials. Any contribution is greatly appreciated!*
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