{"id":17549122,"url":"https://github.com/dolphywind/ai.c","last_synced_at":"2025-03-29T06:41:19.008Z","repository":{"id":237512895,"uuid":"793115248","full_name":"DolphyWind/ai.c","owner":"DolphyWind","description":"Artificial Neural Network implementation in C - Inspired by the KERAS framework","archived":false,"fork":false,"pushed_at":"2024-09-12T15:33:10.000Z","size":65,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"master","last_synced_at":"2025-02-03T19:15:30.161Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":"","language":"C","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"cc0-1.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/DolphyWind.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":"2024-04-28T13:21:27.000Z","updated_at":"2024-09-12T15:33:31.000Z","dependencies_parsed_at":null,"dependency_job_id":"d7d17cb8-7891-4367-9b24-ca82c81a1f6c","html_url":"https://github.com/DolphyWind/ai.c","commit_stats":null,"previous_names":["dolphywind/ai.c"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/DolphyWind%2Fai.c","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/DolphyWind%2Fai.c/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/DolphyWind%2Fai.c/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/DolphyWind%2Fai.c/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/DolphyWind","download_url":"https://codeload.github.com/DolphyWind/ai.c/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":246150416,"owners_count":20731419,"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":"2024-10-21T02:49:54.694Z","updated_at":"2025-03-29T06:41:18.980Z","avatar_url":"https://github.com/DolphyWind.png","language":"C","funding_links":[],"categories":[],"sub_categories":[],"readme":"# ai.c\n\nArtificial Neural Network library in C. Made in 10 days as a submission to [Code Guessing #57](https://cg.esolangs.gay/57).\nThe files I've submitted can be viewed in *code_guessing* branch.\n\nThe dataset I've used to train my network is a modified version of [this](https://www.kaggle.com/datasets/oddrationale/mnist-in-csv) dataset.\n\n# Details\nThis library implements dense and dropout(\\*) layers, SGD algorithm,\nfour activation functions, mean squared error and categorical cross entropy loss functions. \n\n\\* The dropout layer doesn't really work, so I've temporarily\nadded a parameter to dense layers. I might update it in the future\n\n# FAQ\n### What was your goal when creating this?\nI wanted to understand how ANNs really worked by implementing something like this. Code Guessing \\#57 provided a good opportunity for me to do so.\n\n### Why C?\nI wanted it to be more challenging.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdolphywind%2Fai.c","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fdolphywind%2Fai.c","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdolphywind%2Fai.c/lists"}