ApacheCN 深度学习译文集 20210125 更新

谁践踏了优雅 2023-01-11 09:09 74阅读 0赞

新增了七个教程：

*  [PyTorch 中文官方教程 1.7][PyTorch _ 1.7]
    
     *  [学习 PyTorch][PyTorch]
        
         *  [PyTorch 深度学习：60 分钟的突击][PyTorch _60]
            
             *  [张量][Link 1]
             *  [`torch.autograd`的简要介绍][torch.autograd]
             *  [神经网络][Link 2]
             *  [训练分类器][Link 3]
         *  [通过示例学习 PyTorch][PyTorch 1]
            
             *  [热身：NumPy][NumPy]
             *  [PyTorch：张量][PyTorch 2]
             *  [PyTorch：张量和 Autograd][PyTorch_ Autograd]
             *  [PyTorch：定义新的 Autograd 函数][PyTorch_ Autograd 1]
             *  [PyTorch：`nn`][PyTorch_nn]
             *  [PyTorch：`optim`][PyTorch_optim]
             *  [PyTorch：自定义`nn`模块][PyTorch_nn 1]
             *  [PyTorch：控制流 + 权重共享][PyTorch_ _]
         *  [`torch.nn`到底是什么？][torch.nn]
         *  [使用 TensorBoard 可视化模型，数据和训练][TensorBoard]
     *  [图片/视频][Link 4]
        
         *  [`torchvision`对象检测微调教程][torchvision]
         *  [计算机视觉的迁移学习教程][Link 5]
         *  [对抗示例生成][Link 6]
         *  [DCGAN 教程][DCGAN]
     *  [音频][Link 7]
        
         *  [音频 I/O 和`torchaudio`的预处理][I_O _torchaudio]
         *  [使用`torchaudio`的语音命令识别][torchaudio]
     *  [文本][Link 8]
        
         *  [使用`nn.Transformer`和`torchtext`的序列到序列建模][nn.Transformer_torchtext]
         *  [从零开始的 NLP：使用字符级 RNN 分类名称][NLP_ RNN]
         *  [从零开始的 NLP：使用字符级 RNN 生成名称][NLP_ RNN 1]
         *  [从零开始的 NLP：使用序列到序列网络和注意力的翻译][NLP]
         *  [使用`torchtext`的文本分类][torchtext]
         *  [`torchtext`语言翻译][torchtext 1]
     *  [强化学习][Link 9]
        
         *  [强化学习（DQN）教程][DQN]
         *  [训练玩马里奥的 RL 智能体][RL]
     *  [在生产中部署 PyTorch 模型][PyTorch 3]
        
         *  [通过使用 Flask 的 REST API 在 Python 中部署 PyTorch][Flask _ REST API _ Python _ PyTorch]
         *  [TorchScript 简介][TorchScript]
         *  [在 C++ 中加载 TorchScript 模型][C_ _ TorchScript]
         *  [将模型从 PyTorch 导出到 ONNX 并使用 ONNX 运行时运行它（可选）][PyTorch _ ONNX _ ONNX]
     *  [前端 API][API]
        
         *  [PyTorch 中的命名张量简介（原型）][PyTorch 4]
         *  [PyTorch 中通道在最后的内存格式（beta）][PyTorch _beta]
         *  [使用 PyTorch C++ 前端][PyTorch C_]
         *  [自定义 C++ 和 CUDA 扩展][C_ _ CUDA]
         *  [使用自定义 C++ 运算符扩展 TorchScript][C_ _ TorchScript 1]
         *  [使用自定义 C++ 类扩展 TorchScript][C_ _ TorchScript 2]
         *  [TorchScript 中的动态并行性][TorchScript 1]
         *  [C++ 前端中的 Autograd][C_ _ Autograd]
         *  [在 C++ 中注册调度运算符][C_]
     *  [模型优化][Link 10]
        
         *  [分析您的 PyTorch 模块][PyTorch 5]
         *  [使用 Ray Tune 的超参数调整][Ray Tune]
         *  [模型剪裁教程][Link 11]
         *  [LSTM 单词语言模型上的动态量化（beta）][LSTM _beta]
         *  [BERT 上的动态量化（Beta）][BERT _Beta]
         *  [PyTorch 中使用 Eager 模式的静态量化（beta）][PyTorch _ Eager _beta]
         *  [计算机视觉的量化迁移学习教程（beta）][beta]
     *  [并行和分布式训练][Link 12]
        
         *  [PyTorch 分布式概述][PyTorch 6]
         *  [单机模型并行最佳实践][Link 13]
         *  [分布式数据并行入门][Link 14]
         *  [用 PyTorch 编写分布式应用][PyTorch 7]
         *  [分布式 RPC 框架入门][RPC]
         *  [使用分布式 RPC 框架实现参数服务器][RPC 1]
         *  [使用 RPC 的分布式管道并行化][RPC 2]
         *  [使用异步执行实现批量 RPC 处理][RPC 3]
         *  [将分布式`DataParallel`与分布式 RPC 框架相结合][DataParallel_ RPC]
 *  [PyTorch 人工智能研讨会][PyTorch 8]
    
     *  [零、前言][Link 15]
     *  [一、深度学习和 PyTorch 简介][PyTorch 9]
     *  [二、神经网络的构建块][Link 16]
     *  [三、使用 DNN 的分类问题][DNN]
     *  [四、卷积神经网络][Link 17]
     *  [五、样式迁移][Link 18]
     *  [六、使用 RNN 分析数据序列][RNN]
     *  [七、附录][Link 19]
 *  [Python 一次学习实用指南][Python]
    
     *  [零、前言][Link 20]
     *  [第一部分：一次学习简介][Link 21]
        
         *  [一、一次学习简介][Link 22]
     *  [第二部分：深度学习架构][Link 23]
        
         *  [二、基于指标的方法][Link 24]
         *  [三、基于模型的方法][Link 25]
         *  [四、基于优化的方法][Link 26]
     *  [第三部分：其他方法和结论][Link 27]
        
         *  [五、基于生成建模的方法][Link 28]
         *  [六、总结和其他方法][Link 29]
 *  [Python 自然语言处理实用指南][Python 1]
    
     *  [零、前言][Link 30]
     *  [第一部分：用于 NLP 的 PyTorch 1.x 的要点][NLP _ PyTorch 1.x]
        
         *  [一、机器学习和深度学习的基础][Link 31]
         *  [二、用于 NLP 的 PyTorch 1.x 入门][NLP _ PyTorch 1.x 1]
     *  [第二部分：自然语言处理基础][Link 32]
        
         *  [三、NLP 和文本嵌入][NLP 1]
         *  [四、文本预处理，词干提取和词形还原][Link 33]
     *  [第三部分：使用 PyTorch 1.x 的实际 NLP 应用][PyTorch 1.x _ NLP]
        
         *  [五、循环神经网络和情感分析][Link 34]
         *  [六、用于文本分类的卷积神经网络][Link 35]
         *  [七、使用序列到序列神经网络的文本翻译][Link 36]
         *  [八、使用基于注意力的神经网络构建聊天机器人][Link 37]
         *  [九、前方的路][Link 38]
 *  [PyTorch 人工智能基础知识][PyTorch 10]
    
     *  [零、前言][Link 39]
     *  [一、使用 PyTorch 使用张量][PyTorch 11]
     *  [二、与神经网络协作][Link 40]
     *  [三、用于计算机视觉的卷积神经网络][Link 41]
     *  [四、用于 NLP 的循环神经网络][NLP 2]
     *  [五、迁移学习和 TensorBoard][TensorBoard 1]
     *  [六、探索生成对抗网络][Link 42]
     *  [七、深度强化学习][Link 43]
     *  [八、在 PyTorch 中生产 AI 模型][PyTorch _ AI]
 *  [PyTorch 深度学习实用指南][PyTorch 12]
    
     *  [零、前言][Link 44]
     *  [一、深度学习演练和 PyTorch 简介][PyTorch 13]
     *  [二、简单的神经网络][Link 45]
     *  [三、深度学习工作流程][Link 46]
     *  [四、计算机视觉][Link 47]
     *  [五、序列数据处理][Link 48]
     *  [六、生成网络][Link 49]
     *  [七、强化学习][Link 50]
     *  [八、生产中的 PyTorch][PyTorch 14]
 *  [TensorFlow 强化学习][TensorFlow]
    
     *  [零、前言][Link 51]
     *  [一、深度学习–架构和框架][Link 52]
     *  [二、使用 OpenAI Gym 训练强化学习智能体][OpenAI Gym]
     *  [三、马尔可夫决策过程][Link 53]
     *  [四、策略梯度][Link 54]
     *  [五、Q 学习和深度 Q 网络][Q _ Q]
     *  [六、异步方法][Link 55]
     *  [七、一切都是机器人-真正的战略游戏][-]
     *  [八、AlphaGo –最好的强化学习][AlphaGo]
     *  [九、自动驾驶中的强化学习][Link 56]
     *  [十、金融投资组合管理][Link 57]
     *  [十一、机器人技术中的强化学习][Link 58]
     *  [十二、广告技术中的深度强化学习][Link 59]
     *  [十三、图像处理中的强化学习][Link 60]
     *  [十四、NLP 中的深度强化学习][NLP 3]
     *  [十五、强化学习的其他主题][Link 61]

## 下载 ##

### Docker ###

docker pull apachecn0/apachecn-dl-zh
    docker run -tid -p <port>:80 apachecn0/apachecn-dl-zh
    # 访问 http://localhost:{port}

### PYPI ###

pip install apachecn-dl-zh
    apachecn-dl-zh <port>
    # 访问 http://localhost:{port}

### NPM ###

npm install -g apachecn-dl-zh
    apachecn-dl-zh <port>
    # 访问 http://localhost:{port}

## 贡献指南 ##

本项目需要校对，欢迎大家提交 Pull Request。

> 请您勇敢地去翻译和改进翻译。虽然我们追求卓越，但我们并不要求您做到十全十美，因此请不要担心因为翻译上犯错——在大部分情况下，我们的服务器已经记录所有的翻译，因此您不必担心会因为您的失误遭到无法挽回的破坏。（改编自维基百科）

[PyTorch _ 1.7]: https://github.com/apachecn/apachecn-dl-zh/blob/master/docs/pt-tut-17/README.md
[PyTorch]: https://github.com/apachecn/apachecn-dl-zh/blob/master/docs/pt-tut-17/01.md
[PyTorch _60]: https://github.com/apachecn/apachecn-dl-zh/blob/master/docs/pt-tut-17/02.md
[Link 1]: https://github.com/apachecn/apachecn-dl-zh/blob/master/docs/pt-tut-17/03.md
[torch.autograd]: https://github.com/apachecn/apachecn-dl-zh/blob/master/docs/pt-tut-17/04.md
[Link 2]: https://github.com/apachecn/apachecn-dl-zh/blob/master/docs/pt-tut-17/05.md
[Link 3]: https://github.com/apachecn/apachecn-dl-zh/blob/master/docs/pt-tut-17/06.md
[PyTorch 1]: https://github.com/apachecn/apachecn-dl-zh/blob/master/docs/pt-tut-17/07.md
[NumPy]: https://github.com/apachecn/apachecn-dl-zh/blob/master/docs/pt-tut-17/08.md
[PyTorch 2]: https://github.com/apachecn/apachecn-dl-zh/blob/master/docs/pt-tut-17/09.md
[PyTorch_ Autograd]: https://github.com/apachecn/apachecn-dl-zh/blob/master/docs/pt-tut-17/10.md
[PyTorch_ Autograd 1]: https://github.com/apachecn/apachecn-dl-zh/blob/master/docs/pt-tut-17/11.md
[PyTorch_nn]: https://github.com/apachecn/apachecn-dl-zh/blob/master/docs/pt-tut-17/12.md
[PyTorch_optim]: https://github.com/apachecn/apachecn-dl-zh/blob/master/docs/pt-tut-17/13.md
[PyTorch_nn 1]: https://github.com/apachecn/apachecn-dl-zh/blob/master/docs/pt-tut-17/14.md
[PyTorch_ _]: https://github.com/apachecn/apachecn-dl-zh/blob/master/docs/pt-tut-17/15.md
[torch.nn]: https://github.com/apachecn/apachecn-dl-zh/blob/master/docs/pt-tut-17/16.md
[TensorBoard]: https://github.com/apachecn/apachecn-dl-zh/blob/master/docs/pt-tut-17/17.md
[Link 4]: https://github.com/apachecn/apachecn-dl-zh/blob/master/docs/pt-tut-17/18.md
[torchvision]: https://github.com/apachecn/apachecn-dl-zh/blob/master/docs/pt-tut-17/19.md
[Link 5]: https://github.com/apachecn/apachecn-dl-zh/blob/master/docs/pt-tut-17/20.md
[Link 6]: https://github.com/apachecn/apachecn-dl-zh/blob/master/docs/pt-tut-17/21.md
[DCGAN]: https://github.com/apachecn/apachecn-dl-zh/blob/master/docs/pt-tut-17/22.md
[Link 7]: https://github.com/apachecn/apachecn-dl-zh/blob/master/docs/pt-tut-17/23.md
[I_O _torchaudio]: https://github.com/apachecn/apachecn-dl-zh/blob/master/docs/pt-tut-17/24.md
[torchaudio]: https://github.com/apachecn/apachecn-dl-zh/blob/master/docs/pt-tut-17/25.md
[Link 8]: https://github.com/apachecn/apachecn-dl-zh/blob/master/docs/pt-tut-17/26.md
[nn.Transformer_torchtext]: https://github.com/apachecn/apachecn-dl-zh/blob/master/docs/pt-tut-17/27.md
[NLP_ RNN]: https://github.com/apachecn/apachecn-dl-zh/blob/master/docs/pt-tut-17/28.md
[NLP_ RNN 1]: https://github.com/apachecn/apachecn-dl-zh/blob/master/docs/pt-tut-17/29.md
[NLP]: https://github.com/apachecn/apachecn-dl-zh/blob/master/docs/pt-tut-17/30.md
[torchtext]: https://github.com/apachecn/apachecn-dl-zh/blob/master/docs/pt-tut-17/31.md
[torchtext 1]: https://github.com/apachecn/apachecn-dl-zh/blob/master/docs/pt-tut-17/32.md
[Link 9]: https://github.com/apachecn/apachecn-dl-zh/blob/master/docs/pt-tut-17/33.md
[DQN]: https://github.com/apachecn/apachecn-dl-zh/blob/master/docs/pt-tut-17/34.md
[RL]: https://github.com/apachecn/apachecn-dl-zh/blob/master/docs/pt-tut-17/35.md
[PyTorch 3]: https://github.com/apachecn/apachecn-dl-zh/blob/master/docs/pt-tut-17/36.md
[Flask _ REST API _ Python _ PyTorch]: https://github.com/apachecn/apachecn-dl-zh/blob/master/docs/pt-tut-17/37.md
[TorchScript]: https://github.com/apachecn/apachecn-dl-zh/blob/master/docs/pt-tut-17/38.md
[C_ _ TorchScript]: https://github.com/apachecn/apachecn-dl-zh/blob/master/docs/pt-tut-17/39.md
[PyTorch _ ONNX _ ONNX]: https://github.com/apachecn/apachecn-dl-zh/blob/master/docs/pt-tut-17/40.md
[API]: https://github.com/apachecn/apachecn-dl-zh/blob/master/docs/pt-tut-17/41.md
[PyTorch 4]: https://github.com/apachecn/apachecn-dl-zh/blob/master/docs/pt-tut-17/42.md
[PyTorch _beta]: https://github.com/apachecn/apachecn-dl-zh/blob/master/docs/pt-tut-17/43.md
[PyTorch C_]: https://github.com/apachecn/apachecn-dl-zh/blob/master/docs/pt-tut-17/44.md
[C_ _ CUDA]: https://github.com/apachecn/apachecn-dl-zh/blob/master/docs/pt-tut-17/45.md
[C_ _ TorchScript 1]: https://github.com/apachecn/apachecn-dl-zh/blob/master/docs/pt-tut-17/46.md
[C_ _ TorchScript 2]: https://github.com/apachecn/apachecn-dl-zh/blob/master/docs/pt-tut-17/47.md
[TorchScript 1]: https://github.com/apachecn/apachecn-dl-zh/blob/master/docs/pt-tut-17/48.md
[C_ _ Autograd]: https://github.com/apachecn/apachecn-dl-zh/blob/master/docs/pt-tut-17/49.md
[C_]: https://github.com/apachecn/apachecn-dl-zh/blob/master/docs/pt-tut-17/50.md
[Link 10]: https://github.com/apachecn/apachecn-dl-zh/blob/master/docs/pt-tut-17/51.md
[PyTorch 5]: https://github.com/apachecn/apachecn-dl-zh/blob/master/docs/pt-tut-17/52.md
[Ray Tune]: https://github.com/apachecn/apachecn-dl-zh/blob/master/docs/pt-tut-17/53.md
[Link 11]: https://github.com/apachecn/apachecn-dl-zh/blob/master/docs/pt-tut-17/54.md
[LSTM _beta]: https://github.com/apachecn/apachecn-dl-zh/blob/master/docs/pt-tut-17/55.md
[BERT _Beta]: https://github.com/apachecn/apachecn-dl-zh/blob/master/docs/pt-tut-17/56.md
[PyTorch _ Eager _beta]: https://github.com/apachecn/apachecn-dl-zh/blob/master/docs/pt-tut-17/57.md
[beta]: https://github.com/apachecn/apachecn-dl-zh/blob/master/docs/pt-tut-17/58.md
[Link 12]: https://github.com/apachecn/apachecn-dl-zh/blob/master/docs/pt-tut-17/59.md
[PyTorch 6]: https://github.com/apachecn/apachecn-dl-zh/blob/master/docs/pt-tut-17/60.md
[Link 13]: https://github.com/apachecn/apachecn-dl-zh/blob/master/docs/pt-tut-17/61.md
[Link 14]: https://github.com/apachecn/apachecn-dl-zh/blob/master/docs/pt-tut-17/62.md
[PyTorch 7]: https://github.com/apachecn/apachecn-dl-zh/blob/master/docs/pt-tut-17/63.md
[RPC]: https://github.com/apachecn/apachecn-dl-zh/blob/master/docs/pt-tut-17/64.md
[RPC 1]: https://github.com/apachecn/apachecn-dl-zh/blob/master/docs/pt-tut-17/65.md
[RPC 2]: https://github.com/apachecn/apachecn-dl-zh/blob/master/docs/pt-tut-17/66.md
[RPC 3]: https://github.com/apachecn/apachecn-dl-zh/blob/master/docs/pt-tut-17/67.md
[DataParallel_ RPC]: https://github.com/apachecn/apachecn-dl-zh/blob/master/docs/pt-tut-17/68.md
[PyTorch 8]: https://github.com/apachecn/apachecn-dl-zh/blob/master/docs/dl-pt-workshop/README.md
[Link 15]: https://github.com/apachecn/apachecn-dl-zh/blob/master/docs/dl-pt-workshop/0.md
[PyTorch 9]: https://github.com/apachecn/apachecn-dl-zh/blob/master/docs/dl-pt-workshop/1.md
[Link 16]: https://github.com/apachecn/apachecn-dl-zh/blob/master/docs/dl-pt-workshop/2.md
[DNN]: https://github.com/apachecn/apachecn-dl-zh/blob/master/docs/dl-pt-workshop/3.md
[Link 17]: https://github.com/apachecn/apachecn-dl-zh/blob/master/docs/dl-pt-workshop/4.md
[Link 18]: https://github.com/apachecn/apachecn-dl-zh/blob/master/docs/dl-pt-workshop/5.md
[RNN]: https://github.com/apachecn/apachecn-dl-zh/blob/master/docs/dl-pt-workshop/6.md
[Link 19]: https://github.com/apachecn/apachecn-dl-zh/blob/master/docs/dl-pt-workshop/7.md
[Python]: https://github.com/apachecn/apachecn-dl-zh/blob/master/docs/handson-1shot-learn-py/README.md
[Link 20]: https://github.com/apachecn/apachecn-dl-zh/blob/master/docs/handson-1shot-learn-py/0.md
[Link 21]: https://github.com/apachecn/apachecn-dl-zh/blob/master/docs/handson-1shot-learn-py/sec1.md
[Link 22]: https://github.com/apachecn/apachecn-dl-zh/blob/master/docs/handson-1shot-learn-py/1.md
[Link 23]: https://github.com/apachecn/apachecn-dl-zh/blob/master/docs/handson-1shot-learn-py/sec2.md
[Link 24]: https://github.com/apachecn/apachecn-dl-zh/blob/master/docs/handson-1shot-learn-py/2.md
[Link 25]: https://github.com/apachecn/apachecn-dl-zh/blob/master/docs/handson-1shot-learn-py/3.md
[Link 26]: https://github.com/apachecn/apachecn-dl-zh/blob/master/docs/handson-1shot-learn-py/4.md
[Link 27]: https://github.com/apachecn/apachecn-dl-zh/blob/master/docs/handson-1shot-learn-py/sec3.md
[Link 28]: https://github.com/apachecn/apachecn-dl-zh/blob/master/docs/handson-1shot-learn-py/5.md
[Link 29]: https://github.com/apachecn/apachecn-dl-zh/blob/master/docs/handson-1shot-learn-py/6.md
[Python 1]: https://github.com/apachecn/apachecn-dl-zh/blob/master/docs/handson-nlp-pt-1x/README.md
[Link 30]: https://github.com/apachecn/apachecn-dl-zh/blob/master/docs/handson-nlp-pt-1x/0.md
[NLP _ PyTorch 1.x]: https://github.com/apachecn/apachecn-dl-zh/blob/master/docs/handson-nlp-pt-1x/sec1.md
[Link 31]: https://github.com/apachecn/apachecn-dl-zh/blob/master/docs/handson-nlp-pt-1x/1.md
[NLP _ PyTorch 1.x 1]: https://github.com/apachecn/apachecn-dl-zh/blob/master/docs/handson-nlp-pt-1x/2.md
[Link 32]: https://github.com/apachecn/apachecn-dl-zh/blob/master/docs/handson-nlp-pt-1x/sec2.md
[NLP 1]: https://github.com/apachecn/apachecn-dl-zh/blob/master/docs/handson-nlp-pt-1x/3.md
[Link 33]: https://github.com/apachecn/apachecn-dl-zh/blob/master/docs/handson-nlp-pt-1x/4.md
[PyTorch 1.x _ NLP]: https://github.com/apachecn/apachecn-dl-zh/blob/master/docs/handson-nlp-pt-1x/sec3.md
[Link 34]: https://github.com/apachecn/apachecn-dl-zh/blob/master/docs/handson-nlp-pt-1x/5.md
[Link 35]: https://github.com/apachecn/apachecn-dl-zh/blob/master/docs/handson-nlp-pt-1x/6.md
[Link 36]: https://github.com/apachecn/apachecn-dl-zh/blob/master/docs/handson-nlp-pt-1x/7.md
[Link 37]: https://github.com/apachecn/apachecn-dl-zh/blob/master/docs/handson-nlp-pt-1x/8.md
[Link 38]: https://github.com/apachecn/apachecn-dl-zh/blob/master/docs/handson-nlp-pt-1x/9.md
[PyTorch 10]: https://github.com/apachecn/apachecn-dl-zh/blob/master/docs/pt-ai-fund/README.md
[Link 39]: https://github.com/apachecn/apachecn-dl-zh/blob/master/docs/pt-ai-fund/0.md
[PyTorch 11]: https://github.com/apachecn/apachecn-dl-zh/blob/master/docs/pt-ai-fund/1.md
[Link 40]: https://github.com/apachecn/apachecn-dl-zh/blob/master/docs/pt-ai-fund/2.md
[Link 41]: https://github.com/apachecn/apachecn-dl-zh/blob/master/docs/pt-ai-fund/3.md
[NLP 2]: https://github.com/apachecn/apachecn-dl-zh/blob/master/docs/pt-ai-fund/4.md
[TensorBoard 1]: https://github.com/apachecn/apachecn-dl-zh/blob/master/docs/pt-ai-fund/5.md
[Link 42]: https://github.com/apachecn/apachecn-dl-zh/blob/master/docs/pt-ai-fund/6.md
[Link 43]: https://github.com/apachecn/apachecn-dl-zh/blob/master/docs/pt-ai-fund/7.md
[PyTorch _ AI]: https://github.com/apachecn/apachecn-dl-zh/blob/master/docs/pt-ai-fund/8.md
[PyTorch 12]: https://github.com/apachecn/apachecn-dl-zh/blob/master/docs/pt-dl-handson/README.md
[Link 44]: https://github.com/apachecn/apachecn-dl-zh/blob/master/docs/pt-dl-handson/0.md
[PyTorch 13]: https://github.com/apachecn/apachecn-dl-zh/blob/master/docs/pt-dl-handson/1.md
[Link 45]: https://github.com/apachecn/apachecn-dl-zh/blob/master/docs/pt-dl-handson/2.md
[Link 46]: https://github.com/apachecn/apachecn-dl-zh/blob/master/docs/pt-dl-handson/3.md
[Link 47]: https://github.com/apachecn/apachecn-dl-zh/blob/master/docs/pt-dl-handson/4.md
[Link 48]: https://github.com/apachecn/apachecn-dl-zh/blob/master/docs/pt-dl-handson/5.md
[Link 49]: https://github.com/apachecn/apachecn-dl-zh/blob/master/docs/pt-dl-handson/6.md
[Link 50]: https://github.com/apachecn/apachecn-dl-zh/blob/master/docs/pt-dl-handson/7.md
[PyTorch 14]: https://github.com/apachecn/apachecn-dl-zh/blob/master/docs/pt-dl-handson/8.md
[TensorFlow]: https://github.com/apachecn/apachecn-dl-zh/blob/master/docs/rl-tf/README.md
[Link 51]: https://github.com/apachecn/apachecn-dl-zh/blob/master/docs/rl-tf/00.md
[Link 52]: https://github.com/apachecn/apachecn-dl-zh/blob/master/docs/rl-tf/01.md
[OpenAI Gym]: https://github.com/apachecn/apachecn-dl-zh/blob/master/docs/rl-tf/02.md
[Link 53]: https://github.com/apachecn/apachecn-dl-zh/blob/master/docs/rl-tf/03.md
[Link 54]: https://github.com/apachecn/apachecn-dl-zh/blob/master/docs/rl-tf/04.md
[Q _ Q]: https://github.com/apachecn/apachecn-dl-zh/blob/master/docs/rl-tf/05.md
[Link 55]: https://github.com/apachecn/apachecn-dl-zh/blob/master/docs/rl-tf/06.md
[-]: https://github.com/apachecn/apachecn-dl-zh/blob/master/docs/rl-tf/07.md
[AlphaGo]: https://github.com/apachecn/apachecn-dl-zh/blob/master/docs/rl-tf/08.md
[Link 56]: https://github.com/apachecn/apachecn-dl-zh/blob/master/docs/rl-tf/09.md
[Link 57]: https://github.com/apachecn/apachecn-dl-zh/blob/master/docs/rl-tf/10.md
[Link 58]: https://github.com/apachecn/apachecn-dl-zh/blob/master/docs/rl-tf/11.md
[Link 59]: https://github.com/apachecn/apachecn-dl-zh/blob/master/docs/rl-tf/12.md
[Link 60]: https://github.com/apachecn/apachecn-dl-zh/blob/master/docs/rl-tf/13.md
[NLP 3]: https://github.com/apachecn/apachecn-dl-zh/blob/master/docs/rl-tf/14.md
[Link 61]: https://github.com/apachecn/apachecn-dl-zh/blob/master/docs/rl-tf/15.md