{"id":16440933,"url":"https://github.com/hypnosnova/ai","last_synced_at":"2026-03-01T09:33:21.342Z","repository":{"id":86892340,"uuid":"102551783","full_name":"HypnosNova/AI","owner":"HypnosNova","description":"对吴恩达的深度学习课进行整理","archived":false,"fork":false,"pushed_at":"2017-09-18T14:12:44.000Z","size":374,"stargazers_count":10,"open_issues_count":0,"forks_count":8,"subscribers_count":2,"default_branch":"master","last_synced_at":"2025-02-26T01:32:11.937Z","etag":null,"topics":["ai","deep-learning","machine-learning","makedown","neural-network","notes"],"latest_commit_sha":null,"homepage":"","language":"HTML","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/HypnosNova.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","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":"2017-09-06T02:13:50.000Z","updated_at":"2018-11-09T09:12:11.000Z","dependencies_parsed_at":"2023-04-16T22:14:20.782Z","dependency_job_id":null,"html_url":"https://github.com/HypnosNova/AI","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/HypnosNova/AI","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/HypnosNova%2FAI","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/HypnosNova%2FAI/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/HypnosNova%2FAI/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/HypnosNova%2FAI/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/HypnosNova","download_url":"https://codeload.github.com/HypnosNova/AI/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/HypnosNova%2FAI/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":29965649,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-03-01T09:33:09.965Z","status":"ssl_error","status_checked_at":"2026-03-01T09:25:48.915Z","response_time":124,"last_error":"SSL_connect returned=1 errno=0 peeraddr=140.82.121.5:443 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":["ai","deep-learning","machine-learning","makedown","neural-network","notes"],"created_at":"2024-10-11T09:13:24.244Z","updated_at":"2026-03-01T09:33:21.335Z","avatar_url":"https://github.com/HypnosNova.png","language":"HTML","funding_links":[],"categories":[],"sub_categories":[],"readme":"## 本资源为对吴恩达在网易云课堂的AI课程的记录和理解\n\n### 导航\n\n#### 第一章\n\n[1.1 什么是神经网络](https://github.com/HypnosNova/AI/blob/master/md/chapter%201.1%20%E4%BB%80%E4%B9%88%E6%98%AF%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C.md)\n\n[1.2 用神经网络进行监督学习](https://github.com/HypnosNova/AI/blob/master/md/chapter%201.2%20%E7%94%A8%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C%E8%BF%9B%E8%A1%8C%E7%9B%91%E7%9D%A3%E5%AD%A6%E4%B9%A0.md)\n\n[1.3 神经网络为何兴起](https://github.com/HypnosNova/AI/blob/master/md/chapter%201.3%20.%E6%B7%B1%E5%BA%A6%E5%AD%A6%E4%B9%A0%E4%B8%BA%E4%BD%95%E5%85%B4%E8%B5%B7.md)\n\n#### 第二章\n\n[2.1 二分分类](https://github.com/HypnosNova/AI/blob/master/md/chapter%202.1%20%E4%BA%8C%E5%88%86%E5%88%86%E7%B1%BB.md)\n\n### 符号约定\n\n$m​$ ：训练集的规模，即训练样本的数量\n\n$n_x$ ：特征向量x的维度\n\n$(x,y)$ ：一个单独的样本\n\n$(x^{(i)},y^{(i)})$ ：在m中第i个样本，m可以表示为{$(x^{(1)},y^{(1)}),(x^{(2)},y^{(2)}),(x^{(3)},y^{(3)}),...(x^{(m)},y^{(m)})$}\n\n$m_{train}$ : 训练集\n\n$m_{test}$ : 测试集\n\n$X=[x^{(1)},x^{(2)},x^{(3)},...,x^{(m)}]$ ：一个$n_x*m$ 的矩阵\n\n\n\n### 关键词中英对照\n\n机器学习：machine learning\n\n深度学习：deep learning\n\n神经网络：neural network\n\n神经元：neuron\n\n训练集：training set\n\n监督学习：supervised learning\n\n特征：feature特征：feature\n\n支持向量机：support vector machine","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fhypnosnova%2Fai","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fhypnosnova%2Fai","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fhypnosnova%2Fai/lists"}