ApacheCN 深度學(xué)習(xí)譯文集 20210125 更新
新增了七個教程：
PyTorch 中文官方教程 1.7：github.com/apachecn/apachecn-dl-zh/blob/master/docs/pt-tut-17/README.md
PyTorch 分布式概述：github.com/apachecn/apachecn-dl-zh/blob/master/docs/pt-tut-17/60.md
單機模型并行最佳實踐：github.com/apachecn/apachecn-dl-zh/blob/master/docs/pt-tut-17/61.md
分布式數(shù)據(jù)并行入門：github.com/apachecn/apachecn-dl-zh/blob/master/docs/pt-tut-17/62.md
用 PyTorch 編寫分布式應(yīng)用：github.com/apachecn/apachecn-dl-zh/blob/master/docs/pt-tut-17/63.md
分布式 RPC 框架入門：github.com/apachecn/apachecn-dl-zh/blob/master/docs/pt-tut-17/64.md
使用分布式 RPC 框架實現(xiàn)參數(shù)服務(wù)器：github.com/apachecn/apachecn-dl-zh/blob/master/docs/pt-tut-17/65.md
使用 RPC 的分布式管道并行化：github.com/apachecn/apachecn-dl-zh/blob/master/docs/pt-tut-17/66.md
使用異步執(zhí)行實現(xiàn)批量 RPC 處理：github.com/apachecn/apachecn-dl-zh/blob/master/docs/pt-tut-17/67.md
將分布式
DataParallel與分布式 RPC 框架相結(jié)合：github.com/apachecn/apachecn-dl-zh/blob/master/docs/pt-tut-17/68.md分析您的 PyTorch 模塊：github.com/apachecn/apachecn-dl-zh/blob/master/docs/pt-tut-17/52.md
使用 Ray Tune 的超參數(shù)調(diào)整：github.com/apachecn/apachecn-dl-zh/blob/master/docs/pt-tut-17/53.md
模型剪裁教程：github.com/apachecn/apachecn-dl-zh/blob/master/docs/pt-tut-17/54.md
LSTM 單詞語言模型上的動態(tài)量化（beta）：github.com/apachecn/apachecn-dl-zh/blob/master/docs/pt-tut-17/55.md
BERT 上的動態(tài)量化（Beta）：github.com/apachecn/apachecn-dl-zh/blob/master/docs/pt-tut-17/56.md
PyTorch 中使用 Eager 模式的靜態(tài)量化（beta）：github.com/apachecn/apachecn-dl-zh/blob/master/docs/pt-tut-17/57.md
計算機視覺的量化遷移學(xué)習(xí)教程（beta）：github.com/apachecn/apachecn-dl-zh/blob/master/docs/pt-tut-17/58.md
PyTorch 中的命名張量簡介（原型）：github.com/apachecn/apachecn-dl-zh/blob/master/docs/pt-tut-17/42.md
PyTorch 中通道在最后的內(nèi)存格式（beta）：github.com/apachecn/apachecn-dl-zh/blob/master/docs/pt-tut-17/43.md
使用 PyTorch C++ 前端：github.com/apachecn/apachecn-dl-zh/blob/master/docs/pt-tut-17/44.md
自定義 C++ 和 CUDA 擴展：github.com/apachecn/apachecn-dl-zh/blob/master/docs/pt-tut-17/45.md
使用自定義 C++ 運算符擴展 TorchScript：github.com/apachecn/apachecn-dl-zh/blob/master/docs/pt-tut-17/46.md
使用自定義 C++ 類擴展 TorchScript：github.com/apachecn/apachecn-dl-zh/blob/master/docs/pt-tut-17/47.md
TorchScript 中的動態(tài)并行性：github.com/apachecn/apachecn-dl-zh/blob/master/docs/pt-tut-17/48.md
C++ 前端中的 Autograd：github.com/apachecn/apachecn-dl-zh/blob/master/docs/pt-tut-17/49.md
在 C++ 中注冊調(diào)度運算符：github.com/apachecn/apachecn-dl-zh/blob/master/docs/pt-tut-17/50.md
通過使用 Flask 的 REST API 在 Python 中部署 PyTorch：github.com/apachecn/apachecn-dl-zh/blob/master/docs/pt-tut-17/37.md
TorchScript 簡介：github.com/apachecn/apachecn-dl-zh/blob/master/docs/pt-tut-17/38.md
在 C++ 中加載 TorchScript 模型：github.com/apachecn/apachecn-dl-zh/blob/master/docs/pt-tut-17/39.md
將模型從 PyTorch 導(dǎo)出到 ONNX 并使用 ONNX 運行時運行它（可選）：github.com/apachecn/apachecn-dl-zh/blob/master/docs/pt-tut-17/40.md
強化學(xué)習(xí)（DQN）教程：github.com/apachecn/apachecn-dl-zh/blob/master/docs/pt-tut-17/34.md
訓(xùn)練玩馬里奧的 RL 智能體：github.com/apachecn/apachecn-dl-zh/blob/master/docs/pt-tut-17/35.md
使用
nn.Transformer和torchtext的序列到序列建模：github.com/apachecn/apachecn-dl-zh/blob/master/docs/pt-tut-17/27.md從零開始的 NLP：使用字符級 RNN 分類名稱：github.com/apachecn/apachecn-dl-zh/blob/master/docs/pt-tut-17/28.md
從零開始的 NLP：使用字符級 RNN 生成名稱：github.com/apachecn/apachecn-dl-zh/blob/master/docs/pt-tut-17/29.md
從零開始的 NLP：使用序列到序列網(wǎng)絡(luò)和注意力的翻譯：github.com/apachecn/apachecn-dl-zh/blob/master/docs/pt-tut-17/30.md
使用
torchtext的文本分類：github.com/apachecn/apachecn-dl-zh/blob/master/docs/pt-tut-17/31.mdtorchtext語言翻譯：github.com/apachecn/apachecn-dl-zh/blob/master/docs/pt-tut-17/32.md音頻 I/O 和
torchaudio的預(yù)處理：github.com/apachecn/apachecn-dl-zh/blob/master/docs/pt-tut-17/24.md使用
torchaudio的語音命令識別：github.com/apachecn/apachecn-dl-zh/blob/master/docs/pt-tut-17/25.mdtorchvision對象檢測微調(diào)教程：github.com/apachecn/apachecn-dl-zh/blob/master/docs/pt-tut-17/19.md計算機視覺的遷移學(xué)習(xí)教程：github.com/apachecn/apachecn-dl-zh/blob/master/docs/pt-tut-17/20.md
對抗示例生成：github.com/apachecn/apachecn-dl-zh/blob/master/docs/pt-tut-17/21.md
DCGAN 教程：github.com/apachecn/apachecn-dl-zh/blob/master/docs/pt-tut-17/22.md
PyTorch 深度學(xué)習(xí)：60 分鐘的突擊：github.com/apachecn/apachecn-dl-zh/blob/master/docs/pt-tut-17/02.md
通過示例學(xué)習(xí) PyTorch：github.com/apachecn/apachecn-dl-zh/blob/master/docs/pt-tut-17/07.md
torch.nn到底是什么？：github.com/apachecn/apachecn-dl-zh/blob/master/docs/pt-tut-17/16.md使用 TensorBoard 可視化模型，數(shù)據(jù)和訓(xùn)練：github.com/apachecn/apachecn-dl-zh/blob/master/docs/pt-tut-17/17.md
張量：github.com/apachecn/apachecn-dl-zh/blob/master/docs/pt-tut-17/03.md
torch.autograd的簡要介紹：github.com/apachecn/apachecn-dl-zh/blob/master/docs/pt-tut-17/04.md神經(jīng)網(wǎng)絡(luò)：github.com/apachecn/apachecn-dl-zh/blob/master/docs/pt-tut-17/05.md
訓(xùn)練分類器：github.com/apachecn/apachecn-dl-zh/blob/master/docs/pt-tut-17/06.md
熱身：NumPy：github.com/apachecn/apachecn-dl-zh/blob/master/docs/pt-tut-17/08.md
PyTorch：張量：github.com/apachecn/apachecn-dl-zh/blob/master/docs/pt-tut-17/09.md
PyTorch：張量和 Autograd：github.com/apachecn/apachecn-dl-zh/blob/master/docs/pt-tut-17/10.md
PyTorch：定義新的 Autograd 函數(shù)：github.com/apachecn/apachecn-dl-zh/blob/master/docs/pt-tut-17/11.md
PyTorch：
nn：github.com/apachecn/apachecn-dl-zh/blob/master/docs/pt-tut-17/12.mdPyTorch：
optim：github.com/apachecn/apachecn-dl-zh/blob/master/docs/pt-tut-17/13.mdPyTorch：自定義
nn模塊：github.com/apachecn/apachecn-dl-zh/blob/master/docs/pt-tut-17/14.mdPyTorch：控制流 + 權(quán)重共享：github.com/apachecn/apachecn-dl-zh/blob/master/docs/pt-tut-17/15.md
學(xué)習(xí) PyTorch：github.com/apachecn/apachecn-dl-zh/blob/master/docs/pt-tut-17/01.md
圖片/視頻：github.com/apachecn/apachecn-dl-zh/blob/master/docs/pt-tut-17/18.md
音頻：github.com/apachecn/apachecn-dl-zh/blob/master/docs/pt-tut-17/23.md
文本：github.com/apachecn/apachecn-dl-zh/blob/master/docs/pt-tut-17/26.md
強化學(xué)習(xí)：github.com/apachecn/apachecn-dl-zh/blob/master/docs/pt-tut-17/33.md
在生產(chǎn)中部署 PyTorch 模型：github.com/apachecn/apachecn-dl-zh/blob/master/docs/pt-tut-17/36.md
前端 API：github.com/apachecn/apachecn-dl-zh/blob/master/docs/pt-tut-17/41.md
模型優(yōu)化：github.com/apachecn/apachecn-dl-zh/blob/master/docs/pt-tut-17/51.md
并行和分布式訓(xùn)練：github.com/apachecn/apachecn-dl-zh/blob/master/docs/pt-tut-17/59.md
PyTorch 人工智能研討會：github.com/apachecn/apachecn-dl-zh/blob/master/docs/dl-pt-workshop/README.md
零、前言：github.com/apachecn/apachecn-dl-zh/blob/master/docs/dl-pt-workshop/0.md
一、深度學(xué)習(xí)和 PyTorch 簡介：github.com/apachecn/apachecn-dl-zh/blob/master/docs/dl-pt-workshop/1.md
二、神經(jīng)網(wǎng)絡(luò)的構(gòu)建塊：github.com/apachecn/apachecn-dl-zh/blob/master/docs/dl-pt-workshop/2.md
三、使用 DNN 的分類問題：github.com/apachecn/apachecn-dl-zh/blob/master/docs/dl-pt-workshop/3.md
四、卷積神經(jīng)網(wǎng)絡(luò)：github.com/apachecn/apachecn-dl-zh/blob/master/docs/dl-pt-workshop/4.md
五、樣式遷移：github.com/apachecn/apachecn-dl-zh/blob/master/docs/dl-pt-workshop/5.md
六、使用 RNN 分析數(shù)據(jù)序列：github.com/apachecn/apachecn-dl-zh/blob/master/docs/dl-pt-workshop/6.md
七、附錄：github.com/apachecn/apachecn-dl-zh/blob/master/docs/dl-pt-workshop/7.md
Python 一次學(xué)習(xí)實用指南：github.com/apachecn/apachecn-dl-zh/blob/master/docs/handson-1shot-learn-py/README.md
五、基于生成建模的方法：github.com/apachecn/apachecn-dl-zh/blob/master/docs/handson-1shot-learn-py/5.md
六、總結(jié)和其他方法：github.com/apachecn/apachecn-dl-zh/blob/master/docs/handson-1shot-learn-py/6.md
二、基于指標(biāo)的方法：github.com/apachecn/apachecn-dl-zh/blob/master/docs/handson-1shot-learn-py/2.md
三、基于模型的方法：github.com/apachecn/apachecn-dl-zh/blob/master/docs/handson-1shot-learn-py/3.md
四、基于優(yōu)化的方法：github.com/apachecn/apachecn-dl-zh/blob/master/docs/handson-1shot-learn-py/4.md
一、一次學(xué)習(xí)簡介：github.com/apachecn/apachecn-dl-zh/blob/master/docs/handson-1shot-learn-py/1.md
零、前言：github.com/apachecn/apachecn-dl-zh/blob/master/docs/handson-1shot-learn-py/0.md
第一部分：一次學(xué)習(xí)簡介：github.com/apachecn/apachecn-dl-zh/blob/master/docs/handson-1shot-learn-py/sec1.md
第二部分：深度學(xué)習(xí)架構(gòu)：github.com/apachecn/apachecn-dl-zh/blob/master/docs/handson-1shot-learn-py/sec2.md
第三部分：其他方法和結(jié)論：github.com/apachecn/apachecn-dl-zh/blob/master/docs/handson-1shot-learn-py/sec3.md
Python 自然語言處理實用指南：github.com/apachecn/apachecn-dl-zh/blob/master/docs/handson-nlp-pt-1x/README.md
五、循環(huán)神經(jīng)網(wǎng)絡(luò)和情感分析：github.com/apachecn/apachecn-dl-zh/blob/master/docs/handson-nlp-pt-1x/5.md
六、用于文本分類的卷積神經(jīng)網(wǎng)絡(luò)：github.com/apachecn/apachecn-dl-zh/blob/master/docs/handson-nlp-pt-1x/6.md
七、使用序列到序列神經(jīng)網(wǎng)絡(luò)的文本翻譯：github.com/apachecn/apachecn-dl-zh/blob/master/docs/handson-nlp-pt-1x/7.md
八、使用基于注意力的神經(jīng)網(wǎng)絡(luò)構(gòu)建聊天機器人：github.com/apachecn/apachecn-dl-zh/blob/master/docs/handson-nlp-pt-1x/8.md
九、前方的路：github.com/apachecn/apachecn-dl-zh/blob/master/docs/handson-nlp-pt-1x/9.md
三、NLP 和文本嵌入：github.com/apachecn/apachecn-dl-zh/blob/master/docs/handson-nlp-pt-1x/3.md
四、文本預(yù)處理，詞干提取和詞形還原：github.com/apachecn/apachecn-dl-zh/blob/master/docs/handson-nlp-pt-1x/4.md
一、機器學(xué)習(xí)和深度學(xué)習(xí)的基礎(chǔ)：github.com/apachecn/apachecn-dl-zh/blob/master/docs/handson-nlp-pt-1x/1.md
二、用于 NLP 的 PyTorch 1.x 入門：github.com/apachecn/apachecn-dl-zh/blob/master/docs/handson-nlp-pt-1x/2.md
零、前言：github.com/apachecn/apachecn-dl-zh/blob/master/docs/handson-nlp-pt-1x/0.md
第一部分：用于 NLP 的 PyTorch 1.x 的要點：github.com/apachecn/apachecn-dl-zh/blob/master/docs/handson-nlp-pt-1x/sec1.md
第二部分：自然語言處理基礎(chǔ)：github.com/apachecn/apachecn-dl-zh/blob/master/docs/handson-nlp-pt-1x/sec2.md
第三部分：使用 PyTorch 1.x 的實際 NLP 應(yīng)用：github.com/apachecn/apachecn-dl-zh/blob/master/docs/handson-nlp-pt-1x/sec3.md
PyTorch 人工智能基礎(chǔ)知識：github.com/apachecn/apachecn-dl-zh/blob/master/docs/pt-ai-fund/README.md
零、前言：github.com/apachecn/apachecn-dl-zh/blob/master/docs/pt-ai-fund/0.md
一、使用 PyTorch 使用張量：github.com/apachecn/apachecn-dl-zh/blob/master/docs/pt-ai-fund/1.md
二、與神經(jīng)網(wǎng)絡(luò)協(xié)作：github.com/apachecn/apachecn-dl-zh/blob/master/docs/pt-ai-fund/2.md
三、用于計算機視覺的卷積神經(jīng)網(wǎng)絡(luò)：github.com/apachecn/apachecn-dl-zh/blob/master/docs/pt-ai-fund/3.md
四、用于 NLP 的循環(huán)神經(jīng)網(wǎng)絡(luò)：github.com/apachecn/apachecn-dl-zh/blob/master/docs/pt-ai-fund/4.md
五、遷移學(xué)習(xí)和 TensorBoard：github.com/apachecn/apachecn-dl-zh/blob/master/docs/pt-ai-fund/5.md
六、探索生成對抗網(wǎng)絡(luò)：github.com/apachecn/apachecn-dl-zh/blob/master/docs/pt-ai-fund/6.md
七、深度強化學(xué)習(xí)：github.com/apachecn/apachecn-dl-zh/blob/master/docs/pt-ai-fund/7.md
八、在 PyTorch 中生產(chǎn) AI 模型：github.com/apachecn/apachecn-dl-zh/blob/master/docs/pt-ai-fund/8.md
PyTorch 深度學(xué)習(xí)實用指南：github.com/apachecn/apachecn-dl-zh/blob/master/docs/pt-dl-handson/README.md
零、前言：github.com/apachecn/apachecn-dl-zh/blob/master/docs/pt-dl-handson/0.md
一、深度學(xué)習(xí)演練和 PyTorch 簡介：github.com/apachecn/apachecn-dl-zh/blob/master/docs/pt-dl-handson/1.md
二、簡單的神經(jīng)網(wǎng)絡(luò)：github.com/apachecn/apachecn-dl-zh/blob/master/docs/pt-dl-handson/2.md
三、深度學(xué)習(xí)工作流程：github.com/apachecn/apachecn-dl-zh/blob/master/docs/pt-dl-handson/3.md
四、計算機視覺：github.com/apachecn/apachecn-dl-zh/blob/master/docs/pt-dl-handson/4.md
五、序列數(shù)據(jù)處理：github.com/apachecn/apachecn-dl-zh/blob/master/docs/pt-dl-handson/5.md
六、生成網(wǎng)絡(luò)：github.com/apachecn/apachecn-dl-zh/blob/master/docs/pt-dl-handson/6.md
七、強化學(xué)習(xí)：github.com/apachecn/apachecn-dl-zh/blob/master/docs/pt-dl-handson/7.md
八、生產(chǎn)中的 PyTorch：github.com/apachecn/apachecn-dl-zh/blob/master/docs/pt-dl-handson/8.md
TensorFlow 強化學(xué)習(xí)：github.com/apachecn/apachecn-dl-zh/blob/master/docs/rl-tf/README.md
零、前言：github.com/apachecn/apachecn-dl-zh/blob/master/docs/rl-tf/00.md
一、深度學(xué)習(xí)–架構(gòu)和框架：github.com/apachecn/apachecn-dl-zh/blob/master/docs/rl-tf/01.md
二、使用 OpenAI Gym 訓(xùn)練強化學(xué)習(xí)智能體：github.com/apachecn/apachecn-dl-zh/blob/master/docs/rl-tf/02.md
三、馬爾可夫決策過程：github.com/apachecn/apachecn-dl-zh/blob/master/docs/rl-tf/03.md
四、策略梯度：github.com/apachecn/apachecn-dl-zh/blob/master/docs/rl-tf/04.md
五、Q 學(xué)習(xí)和深度 Q 網(wǎng)絡(luò)：github.com/apachecn/apachecn-dl-zh/blob/master/docs/rl-tf/05.md
六、異步方法：github.com/apachecn/apachecn-dl-zh/blob/master/docs/rl-tf/06.md
七、一切都是機器人-真正的戰(zhàn)略游戲：github.com/apachecn/apachecn-dl-zh/blob/master/docs/rl-tf/07.md
八、AlphaGo –最好的強化學(xué)習(xí)：github.com/apachecn/apachecn-dl-zh/blob/master/docs/rl-tf/08.md
九、自動駕駛中的強化學(xué)習(xí)：github.com/apachecn/apachecn-dl-zh/blob/master/docs/rl-tf/09.md
十、金融投資組合管理：github.com/apachecn/apachecn-dl-zh/blob/master/docs/rl-tf/10.md
十一、機器人技術(shù)中的強化學(xué)習(xí)：github.com/apachecn/apachecn-dl-zh/blob/master/docs/rl-tf/11.md
十二、廣告技術(shù)中的深度強化學(xué)習(xí)：github.com/apachecn/apachecn-dl-zh/blob/master/docs/rl-tf/12.md
十三、圖像處理中的強化學(xué)習(xí)：github.com/apachecn/apachecn-dl-zh/blob/master/docs/rl-tf/13.md
十四、NLP 中的深度強化學(xué)習(xí)：github.com/apachecn/apachecn-dl-zh/blob/master/docs/rl-tf/14.md
十五、強化學(xué)習(xí)的其他主題：github.com/apachecn/apachecn-dl-zh/blob/master/docs/rl-tf/15.md
下載
Docker
docker pull apachecn0/apachecn-dl-zh?
docker run -tid -p <port>:80 apachecn0/apachecn-dl-zh?
# 訪問 http://localhost:{port}
PYPI
pip install apachecn-dl-zh?
apachecn-dl-zh <port>?
# 訪問 http://localhost:{port}
NPM
npm install -g apachecn-dl-zh?
apachecn-dl-zh <port>?
# 訪問 http://localhost:{port}
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