Pytorch教程学习笔记

Pytorch教程学习笔记

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转载自：Teeyohuang 分类专栏 - Pytorch学习笔记

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1. Pytorch进行CIFAR-10分类
   • CIFAR-10数据加载和处理
   • 定义卷积神经网络
   • 定义损失函数和优化器
   • 训练
   • 测试
2. Pytorch进行mnist训练和测试
3. Pytorch创建自己的数据集
   • 用于分类的数据集
   • 用于分割的数据集

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参考：

https://blog.csdn.net/teeyohuang/article/details/79210525

https://blog.csdn.net/teeyohuang/article/details/79211798

https://blog.csdn.net/teeyohuang/article/details/79218079

https://blog.csdn.net/teeyohuang/article/details/79219368

https://blog.csdn.net/teeyohuang/article/details/79222857

https://blog.csdn.net/teeyohuang/article/details/79242946

https://blog.csdn.net/teeyohuang/article/details/79219368

https://blog.csdn.net/teeyohuang/article/details/79587125

https://blog.csdn.net/teeyohuang/article/details/82108203