{"id":20469938,"url":"https://github.com/budali/pytorch_learn-","last_synced_at":"2026-03-06T16:31:52.877Z","repository":{"id":113834147,"uuid":"447124736","full_name":"budaLi/pytorch_learn-","owner":"budaLi","description":"跟着李沐学   动手学深度学习 PyTorch版","archived":false,"fork":false,"pushed_at":"2022-01-12T09:14:43.000Z","size":3,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-03-05T13:25:49.846Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"language":null,"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/budaLi.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":"2022-01-12T07:53:23.000Z","updated_at":"2022-01-12T07:53:23.000Z","dependencies_parsed_at":null,"dependency_job_id":"fe9ca680-3840-4be4-a701-8788277a016a","html_url":"https://github.com/budaLi/pytorch_learn-","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/budaLi/pytorch_learn-","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/budaLi%2Fpytorch_learn-","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/budaLi%2Fpytorch_learn-/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/budaLi%2Fpytorch_learn-/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/budaLi%2Fpytorch_learn-/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/budaLi","download_url":"https://codeload.github.com/budaLi/pytorch_learn-/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/budaLi%2Fpytorch_learn-/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":30185466,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-03-06T14:42:24.748Z","status":"ssl_error","status_checked_at":"2026-03-06T14:42:14.925Z","response_time":250,"last_error":"SSL_connect returned=1 errno=0 peeraddr=140.82.121.6:443 state=error: unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"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":[],"created_at":"2024-11-15T14:10:58.266Z","updated_at":"2026-03-06T16:31:52.832Z","avatar_url":"https://github.com/budaLi.png","language":null,"funding_links":[],"categories":[],"sub_categories":[],"readme":"# pytorch_learn-\n跟着李沐学   动手学深度学习 PyTorch版\n\n资料地址:\n    https://zh.d2l.ai/chapter_introduction/index.html\n    youtobe: https://www.youtube.com/channel/UCef6AUosRYdnnakdCa_4r6Q/videos\n    bilibili:https://space.bilibili.com/1567748478/channel/seriesdetail?sid=358497\n    \n    \n### 2021-1-12\n   \n   内容安排\n   \n     1. 深度学习基础 线性神经网络、多层感知机\n     2. 卷积神经网络 LeNet AlexNet Vgg inception ResNet\n     3. 循环神经网络 RNN GRU LSTM seq2seq\n     4. 注意力机制  Attention Transformer\n     5. 优化算法 SGD Momentum Adam\n     6. 高性能计算 并行 多gpu 分布式\n     7. 计算机视觉 目标检测 语义分割\n     8. 自然语言处理 词嵌入 BERT\n   \n  你将学到什么\n      \n      what 深度学习又哪些技术\n      how 如何实现和调参\n      why 背后的原因(直觉和数学)\n  \n 04 数据预处理\n    \n      N维数组 \n      0-d(标量)  一个类别\n      1-d(向量)  一个特征向量\n      2-d(矩阵)   一个样本- 特征矩阵\n      3-d        RGB图片 HWC\n      4-d        一个batch的图片  nchw\n      5-d        一个视频批量      \n      \n 09  回归 vs 分类\n        \n     回归估计一个连续值\n     分类预测一个离散列别\n     \n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fbudali%2Fpytorch_learn-","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fbudali%2Fpytorch_learn-","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fbudali%2Fpytorch_learn-/lists"}