docs: make Chinese README the default

README.md

@@ -1,40 +1,46 @@
+<!-- WEHUB_ZH_README -->
+> [!NOTE]
+> 本文档由 WeHub 基于上游 README 翻译整理，属于社区翻译，非官方中文文档。  
+> [English](./README.en.md) · [原始项目](https://github.com/yunjey/pytorch-tutorial) · [上游 README](https://github.com/yunjey/pytorch-tutorial/blob/HEAD/README.md)  
+> 原作者、版权与许可证归属以原始项目及本仓库 LICENSE 文件为准。
+
 <p align="center"><img width="40%" src="logo/pytorch_logo_2018.svg" /></p>
 
 --------------------------------------------------------------------------------
 
-This repository provides tutorial code for deep learning researchers to learn [PyTorch](https://github.com/pytorch/pytorch). In the tutorial, most of the models were implemented with less than 30 lines of code. Before starting this tutorial, it is recommended to finish [Official Pytorch Tutorial](http://pytorch.org/tutorials/beginner/deep_learning_60min_blitz.html).
+本仓库为深度学习研究者提供教程代码，用于学习 [PyTorch](https://github.com/pytorch/pytorch).。在本教程中，大多数模型的实现代码不足 30 行。在开始本教程之前，建议先完成 [官方 PyTorch 教程](http://pytorch.org/tutorials/beginner/deep_learning_60min_blitz.html).
 
 
 <br/>
 
-## Table of Contents
+## 目录
 
-#### 1. Basics
-* [PyTorch Basics](https://github.com/yunjey/pytorch-tutorial/tree/master/tutorials/01-basics/pytorch_basics/main.py)
-* [Linear Regression](https://github.com/yunjey/pytorch-tutorial/tree/master/tutorials/01-basics/linear_regression/main.py#L22-L23)
-* [Logistic Regression](https://github.com/yunjey/pytorch-tutorial/tree/master/tutorials/01-basics/logistic_regression/main.py#L33-L34)
-* [Feedforward Neural Network](https://github.com/yunjey/pytorch-tutorial/tree/master/tutorials/01-basics/feedforward_neural_network/main.py#L37-L49)
+#### 1. 基础
+* [PyTorch 基础](https://github.com/yunjey/pytorch-tutorial/tree/master/tutorials/01-basics/pytorch_basics/main.py)
+* [线性回归](https://github.com/yunjey/pytorch-tutorial/tree/master/tutorials/01-basics/linear_regression/main.py#L22-L23)
+* [逻辑回归](https://github.com/yunjey/pytorch-tutorial/tree/master/tutorials/01-basics/logistic_regression/main.py#L33-L34)
+* [前馈神经网络](https://github.com/yunjey/pytorch-tutorial/tree/master/tutorials/01-basics/feedforward_neural_network/main.py#L37-L49)
 
-#### 2. Intermediate
-* [Convolutional Neural Network](https://github.com/yunjey/pytorch-tutorial/tree/master/tutorials/02-intermediate/convolutional_neural_network/main.py#L35-L56)
-* [Deep Residual Network](https://github.com/yunjey/pytorch-tutorial/tree/master/tutorials/02-intermediate/deep_residual_network/main.py#L76-L113)
-* [Recurrent Neural Network](https://github.com/yunjey/pytorch-tutorial/tree/master/tutorials/02-intermediate/recurrent_neural_network/main.py#L39-L58)
-* [Bidirectional Recurrent Neural Network](https://github.com/yunjey/pytorch-tutorial/tree/master/tutorials/02-intermediate/bidirectional_recurrent_neural_network/main.py#L39-L58)
-* [Language Model (RNN-LM)](https://github.com/yunjey/pytorch-tutorial/tree/master/tutorials/02-intermediate/language_model/main.py#L30-L50)
+#### 2. 中级
+* [卷积神经网络](https://github.com/yunjey/pytorch-tutorial/tree/master/tutorials/02-intermediate/convolutional_neural_network/main.py#L35-L56)
+* [深度残差网络](https://github.com/yunjey/pytorch-tutorial/tree/master/tutorials/02-intermediate/deep_residual_network/main.py#L76-L113)
+* [循环神经网络](https://github.com/yunjey/pytorch-tutorial/tree/master/tutorials/02-intermediate/recurrent_neural_network/main.py#L39-L58)
+* [双向循环神经网络](https://github.com/yunjey/pytorch-tutorial/tree/master/tutorials/02-intermediate/bidirectional_recurrent_neural_network/main.py#L39-L58)
+* [语言模型 (RNN-LM)](https://github.com/yunjey/pytorch-tutorial/tree/master/tutorials/02-intermediate/language_model/main.py#L30-L50)
 
-#### 3. Advanced
-* [Generative Adversarial Networks](https://github.com/yunjey/pytorch-tutorial/blob/master/tutorials/03-advanced/generative_adversarial_network/main.py#L41-L57)
-* [Variational Auto-Encoder](https://github.com/yunjey/pytorch-tutorial/blob/master/tutorials/03-advanced/variational_autoencoder/main.py#L38-L65)
-* [Neural Style Transfer](https://github.com/yunjey/pytorch-tutorial/tree/master/tutorials/03-advanced/neural_style_transfer)
-* [Image Captioning (CNN-RNN)](https://github.com/yunjey/pytorch-tutorial/tree/master/tutorials/03-advanced/image_captioning)
+#### 3. 高级
+* [生成对抗网络](https://github.com/yunjey/pytorch-tutorial/blob/master/tutorials/03-advanced/generative_adversarial_network/main.py#L41-L57)
+* [变分自编码器](https://github.com/yunjey/pytorch-tutorial/blob/master/tutorials/03-advanced/variational_autoencoder/main.py#L38-L65)
+* [神经风格迁移](https://github.com/yunjey/pytorch-tutorial/tree/master/tutorials/03-advanced/neural_style_transfer)
+* [图像描述 (CNN-RNN)](https://github.com/yunjey/pytorch-tutorial/tree/master/tutorials/03-advanced/image_captioning)
 
-#### 4. Utilities
-* [TensorBoard in PyTorch](https://github.com/yunjey/pytorch-tutorial/tree/master/tutorials/04-utils/tensorboard)
+#### 4. 工具
+* [PyTorch 中的 TensorBoard](https://github.com/yunjey/pytorch-tutorial/tree/master/tutorials/04-utils/tensorboard)
 
 
 <br/>
 
-## Getting Started
+## 快速开始
 ```bash
 $ git clone https://github.com/yunjey/pytorch-tutorial.git
 $ cd pytorch-tutorial/tutorials/PATH_TO_PROJECT
@@ -43,10 +49,6 @@ $ python main.py
 
 <br/>
 
-## Dependencies
+## 依赖项
 * [Python 2.7 or 3.5+](https://www.continuum.io/downloads)
 * [PyTorch 0.4.0+](http://pytorch.org/)
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