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 exclude: true\n---\n\n# 深度学习工程师生存指南\n\n![](https://github.com/ypwhs/dl-engineer-guidebook/actions/workflows/build.yml/badge.svg)\n ![Size](https://img.shields.io/github/repo-size/ypwhs/dl-engineer-guidebook.svg)  ![Stars](https://img.shields.io/github/stars/ypwhs/dl-engineer-guidebook.svg)\n\n在线阅读：[https://dl.ypw.io](https://dl.ypw.io)  \n在线阅读：[https://ypwhs.github.io/dl-engineer-guidebook/](https://ypwhs.github.io/dl-engineer-guidebook/)  \n项目地址：[https://github.com/ypwhs/dl-engineer-guidebook](https://github.com/ypwhs/dl-engineer-guidebook)  \n\n* 持续关注请点 \u003ca class=\"github-button\" href=\"https://github.com/ypwhs/dl-engineer-guidebook/subscription\" data-icon=\"octicon-eye\" data-show-count=\"true\" aria-label=\"Watch ypwhs/dl-engineer-guidebook on GitHub\"\u003eWatch\u003c/a\u003e\n* 收藏项目请点 \u003ca class=\"github-button\" href=\"https://github.com/ypwhs/dl-engineer-guidebook\" data-icon=\"octicon-star\" data data-show-count=\"true\" aria-label=\"Star ypwhs/dl-engineer-guidebook on GitHub\"\u003eStar\u003c/a\u003e\n* 贡献内容请点 \u003ca class=\"github-button\" href=\"https://github.com/ypwhs/dl-engineer-guidebook/fork\" data-icon=\"octicon-repo-forked\" data-show-count=\"true\" aria-label=\"Fork ypwhs/dl-engineer-guidebook on GitHub\"\u003eFork\u003c/a\u003e\n* 提问或建议请点 \u003ca class=\"github-button\" href=\"https://github.com/ypwhs/dl-engineer-guidebook/issues\" data-icon=\"octicon-issue-opened\" data-show-count=\"true\" aria-label=\"Issue ypwhs/dl-engineer-guidebook on GitHub\"\u003eIssue\u003c/a\u003e\n\n本书会讲述一个深度学习工程师所需的所有东西：\n\n* [如何配置一台深度学习工作站?](how-to-build-deep-learning-workstation.md)\n    * CPU\n    * 主板\n    * 显卡\n    * 硬盘\n    * 内存\n    * 电源\n    * 网卡\n    * 机箱\n    * 显示器\n    * 键盘鼠标\n* 本地设备\n    * [Windows、Linux 还是 macOS？](windows-linux-or-macos.md)\n    * [Mac 对比](mac-compare.md)\n    * 其他\n        * 触控板\n        * 机械键盘\n        * iPad Pro\n        * 路由器\n        * NAS\n        * 移动硬盘\n        * U盘\n* [macOS 软件](macos-software.md)\n    * 终端\n    * 编辑器\n    * 浏览器\n    * 开发软件\n    * 实用工具\n    * 虚拟机\n* [macOS 环境](macos-environment.md)\n    * Homebrew\n    * oh my zsh\n    * 必备软件\n        * 终端\n        * 编辑器\n        * 浏览器\n        * 开发软件\n        * 实用工具\n        * 日常应用\n    * 必备命令\n* [Python 环境](python-environment.md)\n    * Anaconda\n    * Python 库\n* [Ubuntu 装机步骤](ubuntu-install-guide.md)\n    * 安装 Ubuntu\n    * 配置 ssh\n    * 配置 sudo 免密码 和 apt 源（推荐）\n    * 安装 oh my zsh 以及常用命令（推荐）\n    * 安装 NVIDIA 驱动、CUDA 和 cuDNN（分为 apt 和 run 两种安装方式）\n    * 安装 Anaconda 和 Python 库\n* [Ubuntu 环境](ubuntu-environment.md)\n    * CUDA\n    * cuDNN\n    * TensorFlow\n    * PyTorch\n    * 必备命令\n        * curl\n        * tmux 与 iTerm2 结合使用\n        * screen 后台运行命令\n* [常用 Linux 命令](linux-command.md)\n    * 文件查看\n    * 文件读写\n    * 打包压缩\n    * 权限管理\n    * 进程管理\n    * 磁盘管理\n    * 系统管理\n    * 系统监测\n    * 网络通信\n* [CV 学习资源](cv-resources.md)\n    * 公开课\n    * 网站\n    * 书籍\n* [常用 CV 数据集](cv-dataset.md)\n    * 数据集使用方法\n    * MNIST\n    * CIFAR\n    * ImageNet\n    * VOC\n    * COCO\n    * CelebA\n* [在 ImageNet 上表现出色的经典模型](best-models-on-imagenet.md)\n    * 预训练模型使用方法\n        * TensorFlow\n        * PyTorch\n    * 模型论文\n* [如何使用 TensorBoard](how-to-use-tensorboard.md)\n    * 安装\n    * 使用\n        * 创建文件对象（writer）\n        * 打开 TensorBoard 服务\n        * 可视化模型结构\n        * 记录标量（scalar）\n        * 记录多个标量（scalars）\n        * 记录图像（images）\n        * 完整代码\n    * 总结\n* [离线 Python 环境](offline-python-environment.md)\n\n\n\u003cscript async defer src=\"https://buttons.github.io/buttons.js\"\u003e\u003c/script\u003e\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fypwhs%2Fdl-engineer-guidebook","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fypwhs%2Fdl-engineer-guidebook","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fypwhs%2Fdl-engineer-guidebook/lists"}