{"id":15643222,"url":"https://github.com/emilwallner/deep-learning-101","last_synced_at":"2026-02-23T21:02:15.761Z","repository":{"id":120731470,"uuid":"99956400","full_name":"emilwallner/Deep-Learning-101","owner":"emilwallner","description":"The tools and syntax you need to code neural networks from day one.","archived":false,"fork":false,"pushed_at":"2017-09-25T09:04:31.000Z","size":12,"stargazers_count":60,"open_issues_count":0,"forks_count":15,"subscribers_count":4,"default_branch":"master","last_synced_at":"2025-04-30T10:12:19.453Z","etag":null,"topics":["deep-learning","dropout","machine-learning","regularization","tflearn"],"latest_commit_sha":null,"homepage":"","language":"Jupyter Notebook","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/emilwallner.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":"2017-08-10T19:05:49.000Z","updated_at":"2024-07-01T18:19:38.000Z","dependencies_parsed_at":null,"dependency_job_id":"785a8a3b-ecc5-44cc-924f-6e0cfea4721f","html_url":"https://github.com/emilwallner/Deep-Learning-101","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/emilwallner%2FDeep-Learning-101","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/emilwallner%2FDeep-Learning-101/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/emilwallner%2FDeep-Learning-101/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/emilwallner%2FDeep-Learning-101/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/emilwallner","download_url":"https://codeload.github.com/emilwallner/Deep-Learning-101/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":251683355,"owners_count":21626953,"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":["deep-learning","dropout","machine-learning","regularization","tflearn"],"created_at":"2024-10-03T11:59:33.601Z","updated_at":"2026-02-23T21:02:10.723Z","avatar_url":"https://github.com/emilwallner.png","language":"Jupyter Notebook","readme":"# Deep Learning 101\n\nWhen I started learning deep learning I spent two weeks researching. I selected tools, compared cloud services, and researched online courses. In retrospect, I wish I could have built neural networks from day one. [That’s what this article](http://blog.floydhub.com/my-first-weekend-of-deep-learning) is set out to do. You don’t need any prerequisites, yet a basic understanding of Python, the command line, and Jupyter notebook will help.\n\nThis is the code experiments from the article. \n","funding_links":[],"categories":[],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Femilwallner%2Fdeep-learning-101","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Femilwallner%2Fdeep-learning-101","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Femilwallner%2Fdeep-learning-101/lists"}