{"id":21451760,"url":"https://github.com/ostad-ai/backpropagation","last_synced_at":"2025-03-17T02:42:31.448Z","repository":{"id":252562619,"uuid":"840750356","full_name":"ostad-ai/Backpropagation","owner":"ostad-ai","description":"Here, Backpropagaation algorithm is implemented with pure Python, only with Python standard library.","archived":false,"fork":false,"pushed_at":"2024-08-10T18:10:47.000Z","size":5,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-01-23T12:29:44.266Z","etag":null,"topics":["backpropagation","classification","gradient-descent","iris","neural-networks","opensource","pure","python"],"latest_commit_sha":null,"homepage":"","language":"Python","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/ostad-ai.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":"2024-08-10T15:14:44.000Z","updated_at":"2024-08-10T18:14:08.000Z","dependencies_parsed_at":"2024-08-10T19:40:58.471Z","dependency_job_id":"7780cb26-f6cb-42cf-b4b3-46e0b98142c4","html_url":"https://github.com/ostad-ai/Backpropagation","commit_stats":null,"previous_names":["ostad-ai/backpropagation"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ostad-ai%2FBackpropagation","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ostad-ai%2FBackpropagation/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ostad-ai%2FBackpropagation/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ostad-ai%2FBackpropagation/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/ostad-ai","download_url":"https://codeload.github.com/ostad-ai/Backpropagation/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":243964464,"owners_count":20375783,"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":["backpropagation","classification","gradient-descent","iris","neural-networks","opensource","pure","python"],"created_at":"2024-11-23T04:25:43.139Z","updated_at":"2025-03-17T02:42:31.430Z","avatar_url":"https://github.com/ostad-ai.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Backpropagation, pure Python, version 0.0\n1. Backpropagation with pure Python. \n- Here, we use no external library to implement a Backpropagation algorithm for a three-layer MLP (Multilayer Perceptron).\n2. To use the available code for backpropagation, at the top of your code, write: from bp_pure import *\n3. Remember to download **bp_pure.py**.\n4. This implementation uses biases for both input and hidden layers.\n5. For now, only an online training for backpropagation has been implemented.\n6. As an example, download and use **bp_pure_example.ipynb** and **iris.csv** to test the backpropagation algorithm.","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fostad-ai%2Fbackpropagation","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fostad-ai%2Fbackpropagation","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fostad-ai%2Fbackpropagation/lists"}