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16 | 16 |
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17 | 17 | ## PyTorch 1.0 tutorials and examples |
18 | 18 |
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19 | | -* [0.PyTorch 版本变化及迁移指南](PyTorch版本变化及迁移指南/README.md) |
20 | | -* [1.PyTorch for Numpy users 给Numpy用户的PyTorch指南](https://github.com/bat67/pytorch-tutorials-examples-and-books/tree/master/PyTorch%20for%20Numpy%20users%20给Numpy用户的PyTorch指南) |
21 | | -* [2.PyTorch-basics PyTorch基础](https://github.com/bat67/pytorch-tutorials-examples-and-books/tree/master/PyTorch-basics%20PyTorch基础) |
22 | | -* [3.Linear-regression 线性回归](https://github.com/bat67/pytorch-tutorials-examples-and-books/tree/master/Linear-regression%20线性回归) |
23 | | -* [4.Logistic-regression Logistic 回归](https://github.com/bat67/pytorch-tutorials-examples-and-books/tree/master/Logistic-regression%20Logistic%20回归) |
24 | | -* [5.optimizer 优化器](https://github.com/bat67/pytorch-tutorials-examples-and-books/tree/master/optimizer%20优化) |
25 | | -* [6.neural-network 神经网络](https://github.com/bat67/pytorch-tutorials-examples-and-books/tree/master/neural-network%20神经网络) |
26 | | -* [7.convolutional-neural-network(CNN) 卷积神经网络](https://github.com/bat67/pytorch-tutorials-examples-and-books/tree/master/convolutional-neural-network(CNN)%20卷积神经网络) |
27 | | -* [8.famous-CNN 经典的CNN网络](https://github.com/bat67/pytorch-tutorials-examples-and-books/tree/master/famous-CNN%20经典的CNN网络) |
28 | | -* [9.Using Pretrained models 使用预训练的模型](https://github.com/bat67/pytorch-tutorials-examples-and-books/tree/master/Using%20Pretrained%20models%20使用预训练的模型) |
29 | | -* [10.Dataset-and-Dataloader 自定义数据读取](https://github.com/bat67/pytorch-tutorials-examples-and-books/tree/master/Dataset-and-Dataloader) |
30 | | -* [11.custom-dataset-example 定义自己的数据集](https://github.com/bat67/pytorch-tutorials-examples-and-books/tree/master/custom-dataset-example%20定义自己的数据集) |
31 | | -* [12.visdom-visualization visdom可视化](https://github.com/bat67/pytorch-tutorials-examples-and-books/tree/master/visdom-visualization%20visdom可视化) |
32 | | -* [13.tensorboard-visualization tensorboard可视化](https://github.com/bat67/pytorch-tutorials-examples-and-books/tree/master/tensorboard-visualization%20tensorboard可视化) |
33 | | -* [14.semantic-segmentation 语义分割](https://github.com/bat67/pytorch-tutorials-examples-and-books/tree/master/semantic-segmentation%20语义分割) |
34 | | -* [15.Neural-Style (StyleTransfer) 风格迁移](https://github.com/bat67/pytorch-tutorials-examples-and-books/tree/master/Neural-Style%20(StyleTransfer)%20风格迁移) |
35 | | -* [17.Transfer-Learning 迁移学习](https://github.com/bat67/pytorch-tutorials-examples-and-books/tree/master/Transfer-Learning%20迁移学习) |
| 19 | +* [0.PyTorch 版本变化及迁移指南](https://github.com/bat67/pytorch-tutorials-examples-and-books/tree/master/0.PyTorch版本变化及迁移指南) |
| 20 | +* [1.PyTorch_for_Numpy_Users 给Numpy用户的PyTorch指南](https://github.com/bat67/pytorch-tutorials-examples-and-books/tree/master/1.PyTorch_for_Numpy_users%20给Numpy用户的PyTorch指南) |
| 21 | +* [2.PyTorch_Basics PyTorch基础](https://github.com/bat67/pytorch-tutorials-examples-and-books/tree/master/2.PyTorch%20_basics%20PyTorch基础) |
| 22 | +* [3.Linear_Regression 线性回归](https://github.com/bat67/pytorch-tutorials-examples-and-books/tree/master/3.Linear_regression%20线性回归) |
| 23 | +* [4.Logistic_Regression Logistic 回归](https://github.com/bat67/pytorch-tutorials-examples-and-books/tree/master/4.Logistic_regression%20Logistic回归) |
| 24 | +* [5.Optimizer 优化器](https://github.com/bat67/pytorch-tutorials-examples-and-books/tree/master/5.Optimizer%20优化器) |
| 25 | +* [6.Neural_Network 神经网络](https://github.com/bat67/pytorch-tutorials-examples-and-books/tree/master/6.Neural_Network%20神经网络) |
| 26 | +* [7.Convolutional_Neural_Network(CNN) 卷积神经网络](https://github.com/bat67/pytorch-tutorials-examples-and-books/tree/master/7.Convolutional_Neural_Network(CNN)%20卷积神经网络) |
| 27 | +* [8.Famous_CNN 经典的CNN网络](https://github.com/bat67/pytorch-tutorials-examples-and-books/tree/master/8.Famous_CNN%20经典的CNN网络) |
| 28 | +* [9.Using_Pretrained_models 使用预训练的模型](https://github.com/bat67/pytorch-tutorials-examples-and-books/tree/master/9.Using_Pretrained_Models%20使用预训练的模型) |
| 29 | +* [10.Dataset_and_Dataloader 自定义数据读取](https://github.com/bat67/pytorch-tutorials-examples-and-books/tree/master/10.Dataset_and_Dataloader%20自定义数据读取) |
| 30 | +* [11.Custom_Dataset_example 定义自己的数据集](https://github.com/bat67/pytorch-tutorials-examples-and-books/tree/master/11.Custom_Dataset_Example%20定义自己的数据集) |
| 31 | +* [12.Visdom_Visualization visdom可视化](https://github.com/bat67/pytorch-tutorials-examples-and-books/tree/master/12.Visdom_Visualization%20visdom可视化) |
| 32 | +* [13.Tensorboard_Visualization tensorboard可视化](https://github.com/bat67/pytorch-tutorials-examples-and-books/tree/master/13.Tensorboard_Visualization%20tensorboard可视化) |
| 33 | +* [14.Semantic_Segmentation 语义分割](https://github.com/bat67/pytorch-tutorials-examples-and-books/tree/master/14.Semantic_Segmentation%20语义分割) |
| 34 | +* [15.Transfer_Learning 迁移学习](https://github.com/bat67/pytorch-tutorials-examples-and-books/tree/master/15.Transfer_Learning%20迁移学习) |
| 35 | +* [16.Neural_Style(StyleTransfer) 风格迁移](https://github.com/bat67/pytorch-tutorials-examples-and-books/tree/master/16.Neural_Style(StyleTransfer)%20风格迁移) |
36 | 36 |
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37 | 37 | * [计算机视觉与PyTorch](https://github.com/bat67/vision-with-pytorch) |
38 | 38 |
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