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README.md

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@@ -28,12 +28,12 @@ PyTorch主要是提供了两个核心的功能特性:
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### 自动求导(Autograd)
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* [PyTorch:自动求导(Autograd)](https://github.com/bat67/pytorch-examples-cn/tree/master/PyTorch%EF%BC%9A自动求导(Autograd))
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* [PyTorch:定义自己的自动求导函数](https://github.com/bat67/pytorch-examples-cn/tree/master/PyTorch%EF%BC%9A定义自己的自动求导函数)
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* [TensorFlow:静态图](https://github.com/bat67/pytorch-examples-cn/tree/master/TensorFlow%EF%BC%9A静态图)
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* [PyTorch:定义自己的自动求导函数(almost)](https://github.com/bat67/pytorch-examples-cn/tree/master/PyTorch%EF%BC%9A定义自己的自动求导函数)
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* [TensorFlow:静态图(almost)](https://github.com/bat67/pytorch-examples-cn/tree/master/TensorFlow%EF%BC%9A静态图)
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### `nn`模块(`nn` module)
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* [PyTorch:神经网络模块nn](https://github.com/bat67/pytorch-examples-cn/tree/master/PyTorch%EF%BC%9A定制神经网络nn模块)
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* [PyTorch:优化模块optim](https://github.com/bat67/pytorch-examples-cn/tree/master/PyTorch%EF%BC%9A优化模块optim)
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* [PyTorch:定制神经网络nn模块](PyTorch:定制神经网络nn模块/README.md)
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* [PyTorch:控制流和参数共享](https://github.com/bat67/pytorch-examples-cn/tree/master/PyTorch%EF%BC%9A控制流和参数共享)
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* [PyTorch:定制神经网络nn模块(almost)](https://github.com/bat67/pytorch-examples-cn/tree/master/PyTorch%EF%BC%9A定制神经网络nn模块)
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* [PyTorch:控制流和参数共享(almost)](https://github.com/bat67/pytorch-examples-cn/tree/master/PyTorch%EF%BC%9A控制流和参数共享)

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