{"id":26498511,"url":"https://github.com/iskage/pytorch-notes","last_synced_at":"2026-04-18T13:38:16.249Z","repository":{"id":276758515,"uuid":"929342657","full_name":"isKage/pytorch-notes","owner":"isKage","description":"搭建神经网络：深入学习 Pytorch (Notes on Pytorch","archived":false,"fork":false,"pushed_at":"2025-02-23T08:25:39.000Z","size":1216,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-03-20T14:45:29.643Z","etag":null,"topics":["deep-learning","neural-network","nn","python","pytorch","torch","torchvision"],"latest_commit_sha":null,"homepage":"https://blog.iskage.online/categories/%E6%B7%B1%E5%BA%A6%E5%AD%A6%E4%B9%A0-Pytorch-%E5%AE%8C%E6%95%B4%E6%95%99%E7%A8%8B/","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/isKage.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2025-02-08T10:22:15.000Z","updated_at":"2025-02-23T08:25:42.000Z","dependencies_parsed_at":"2025-03-20T14:39:24.075Z","dependency_job_id":null,"html_url":"https://github.com/isKage/pytorch-notes","commit_stats":null,"previous_names":["iskage/pytorch-notes"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/isKage/pytorch-notes","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/isKage%2Fpytorch-notes","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/isKage%2Fpytorch-notes/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/isKage%2Fpytorch-notes/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/isKage%2Fpytorch-notes/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/isKage","download_url":"https://codeload.github.com/isKage/pytorch-notes/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/isKage%2Fpytorch-notes/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":31971488,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-04-18T00:39:45.007Z","status":"online","status_checked_at":"2026-04-18T02:00:07.018Z","response_time":103,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["deep-learning","neural-network","nn","python","pytorch","torch","torchvision"],"created_at":"2025-03-20T14:37:00.688Z","updated_at":"2026-04-18T13:38:16.212Z","avatar_url":"https://github.com/isKage.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# 搭建神经网络：深入学习 Pytorch\n\n本库是关于学习 Pytorch\n的笔记和相关实践代码，更好的阅读体验可以查看我的知乎专栏 [Pytorch 教程](https://zhuanlan.zhihu.com/column/c_1864780737208799232)\n或者前往我的博客查看 [isKage\\`Blog : 深度学习 Pytorch 完整教程](https://blog.iskage.online/categories/%E6%B7%B1%E5%BA%A6%E5%AD%A6%E4%B9%A0-Pytorch-%E5%AE%8C%E6%95%B4%E6%95%99%E7%A8%8B/) 。\n\n笔记以 `markdown` 格式编写，代码以 `.ipynb` 文件编写，内容均分章节存放，可查看相关目录，或者下载到本地自行运行。\n\n---\n\n\u003e 创建虚拟环境并配置 Pytorch 可参见 [为搭建神经网络创建虚拟环境全流程](https://zhuanlan.zhihu.com/p/22230632892)\n\u003e 和 [Conda 创建虚拟环境全流程](https://zhuanlan.zhihu.com/p/21629604277) 。\n\n## 1 下载到本地查看\n\n在终端进入一个目录\n\n```bash\ncd \u003c目录名\u003e\n```\n\n然后执行\n\n```bash\ngit clone https://github.com/isKage/pytorch-notes.git\n```\n\n即可下载，随后前往之前的目录 `\u003c目录名\u003e` 里查看是否成功下载文件夹 `pytorch-notes`\n\n## 2 笔记目录\n\n1. [张量 Tensor 与自动求导 Autograd](./01_tensor_autograd)\n    1. [张量 Tensor](./01_tensor_autograd/note01_1_tensor.md)\n    2. [自动求导 Autograd 和计算图](./01_tensor_autograd/note01_2_autograd.md)\n2. [神经网络工具 nn 模块](./02_neural_network_tools)\n    1. [Pytorch 的 nn 模块](./02_neural_network_tools/note02_nn.md)\n3. [数据处理](./03_data_processing)\n    1. [数据处理之 Dataset 和 Dataloader](./03_data_processing/note03_dataprocessing.md)\n4. [可视化与 GPU 加速](./04_tensorboard_and_gpu)\n    1. [Tensorboard 可视化工具](./04_tensorboard_and_gpu/note04_1_tensorboard.md)\n    2. [GPU 加速: CUDA](./04_tensorboard_and_gpu/note04_2_cuda.md)\n5. [向量化与索引](./05_vectorization_index)\n    1. [向量化 广播机制 基本索引](./05_vectorization_index/note05_1_vectorization.md)\n\n\n## 3 友链\n\n1. 代码和笔记主要基于 [《深度学习框架 Pytorch 入门与实践》陈云](https://book.douban.com/subject/27624483/)\n   ，参考了公开库 [Github 的 pytorch-book 项目](https://github.com/chenyuntc/pytorch-book)\n   和 [GitHub 的 pytorch-handbook 项目](https://github.com/zergtant/pytorch-handbook) 。\n\n2. 关注我的知乎账号 [Zhuhu](https://www.zhihu.com/people/--55-97-8-41) 不错过我的笔记更新。\n\n3. 我会在个人博客 [isKage\\`Blog](https://blog.iskage.online/) 更新相关项目和学习资料。\n\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fiskage%2Fpytorch-notes","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fiskage%2Fpytorch-notes","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fiskage%2Fpytorch-notes/lists"}