{"id":23102825,"url":"https://github.com/dataxujing/dlcnn","last_synced_at":"2026-01-12T13:59:38.485Z","repository":{"id":112305146,"uuid":"110057480","full_name":"DataXujing/DLCNN","owner":"DataXujing","description":"CNN learning","archived":false,"fork":false,"pushed_at":"2017-11-09T04:10:37.000Z","size":1,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"master","last_synced_at":"2025-02-09T09:29:08.122Z","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/DataXujing.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":"2017-11-09T02:34:38.000Z","updated_at":"2017-11-09T02:34:38.000Z","dependencies_parsed_at":"2023-05-12T14:30:39.887Z","dependency_job_id":null,"html_url":"https://github.com/DataXujing/DLCNN","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/DataXujing%2FDLCNN","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/DataXujing%2FDLCNN/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/DataXujing%2FDLCNN/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/DataXujing%2FDLCNN/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/DataXujing","download_url":"https://codeload.github.com/DataXujing/DLCNN/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":247081216,"owners_count":20880390,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","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":"2024-12-17T00:00:31.949Z","updated_at":"2026-01-12T13:59:38.445Z","avatar_url":"https://github.com/DataXujing.png","language":null,"funding_links":[],"categories":[],"sub_categories":[],"readme":"\r\n\r\n# CNN培训学习\r\n\r\n徐静\r\n------------------------------------------\r\n\r\n[【学习资料】](http://note.youdao.com/noteshare?id=612c3c61eb0c7ec5fc0df33afcaf8d2e)\r\n\r\n\r\n*课时内容*\r\n\r\n+ 扉页\r\n\r\n+ 0.欣赏一幅美丽的图\r\n\r\n+ 1.图像识别问题简介及经典数据集\r\n\r\n+ 2.卷积神经网络介绍（CNN)\r\n\r\n+ 3.卷积神经网络常用结构\r\n\r\n+ 4.经典卷积神经网络模型\r\n\r\n+ 5.卷积神经网络迁移学习与数据扩展\r\n\r\n+ 6.卷积神经网络的应用\r\n\r\n+ 7.再来欣赏一下那幅美丽的图\r\n\r\n+ 8.和积网络的标准模型\r\n\r\n+ 9.和积网络的学习算法\r\n\r\n+ 10.和积网络的变种模型\r\n\r\n+ 11.致谢及说明\r\n\r\n+ 12.参考文献\r\n\r\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdataxujing%2Fdlcnn","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fdataxujing%2Fdlcnn","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdataxujing%2Fdlcnn/lists"}