{"id":14977241,"url":"https://github.com/rafayak/nothingbutnumpy","last_synced_at":"2025-10-28T03:30:47.415Z","repository":{"id":56780362,"uuid":"192335202","full_name":"RafayAK/NothingButNumPy","owner":"RafayAK","description":"This repo is part of a series of blog post titled \"Nothing but NumPy\"","archived":false,"fork":false,"pushed_at":"2020-12-08T17:52:02.000Z","size":2716,"stargazers_count":49,"open_issues_count":0,"forks_count":25,"subscribers_count":3,"default_branch":"master","last_synced_at":"2025-02-01T10:41:34.540Z","etag":null,"topics":["feature-cross","ipynb","network","neural","neural-network","numpy"],"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/RafayAK.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}},"created_at":"2019-06-17T11:38:39.000Z","updated_at":"2024-12-14T23:59:38.000Z","dependencies_parsed_at":"2022-08-16T02:50:10.780Z","dependency_job_id":null,"html_url":"https://github.com/RafayAK/NothingButNumPy","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/RafayAK%2FNothingButNumPy","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/RafayAK%2FNothingButNumPy/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/RafayAK%2FNothingButNumPy/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/RafayAK%2FNothingButNumPy/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/RafayAK","download_url":"https://codeload.github.com/RafayAK/NothingButNumPy/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":238590593,"owners_count":19497351,"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":["feature-cross","ipynb","network","neural","neural-network","numpy"],"created_at":"2024-09-24T13:55:20.784Z","updated_at":"2025-10-28T03:30:46.971Z","avatar_url":"https://github.com/RafayAK.png","language":"Jupyter Notebook","funding_links":["https://www.buymeacoffee.com/rafaykhan"],"categories":[],"sub_categories":[],"readme":"\r\n\u003cdiv align='center'\u003e\r\n\u003ch1\u003e Nothing but NumPy \u003c/h1\u003e\r\n\u003c/div\u003e\r\n\r\n\u003cdiv align='center'\u003e\r\n   \r\n[![forthebadge made-with-python](http://ForTheBadge.com/images/badges/made-with-python.svg)](https://www.python.org/)\r\n[![forthebadge](https://forthebadge.com/images/badges/built-with-love.svg)](https://forthebadge.com)\r\n\u003c/div\u003e\r\n\r\n\u003cdiv align='center'\u003e\r\n\u003ca href=\"https://www.buymeacoffee.com/rafaykhan\" target=\"_blank\"\u003e\u003cimg src=\"https://cdn.buymeacoffee.com/buttons/v2/default-yellow.png\" alt=\"Buy Me A Coffee\" height=\"41\" width=\"174\"\u003e\u003c/a\u003e\r\n\u003c/div\u003e\r\n\r\n\r\nThis open source repository is part of a series of blog posts titled _\"Nothing but NumPy\"_, that aims to explain all the nuts\r\nand bolts that go into making an artificial neural network and create them using only [NumPy](https://numpy.org/).\r\n\r\n\r\n## [1. Understanding and Creating Neural Networks](/Understanding_and_Creating_NNs)\r\n\r\n_Part of the blog post [\"Nothing but NumPy: Understanding \u0026amp; Creating Neural Networks with Computational Graphs from Scratch\"](https://medium.com/@rafayak/nothing-but-numpy-understanding-creating-neural-networks-with-computational-graphs-from-scratch-6299901091b0)_\r\n\r\nIntroudces the concept of an \"artifical neural network\", laying down the foundation for future installments.\r\n\r\n\r\n## [2. Understanding and Creating Binary Classification Neural Networks](/Understanding_and_Creating_Binary_Classification_NNs)\r\n_Part of the blog post [\"Nothing but NumPy: Understanding \u0026amp; Creating Binary Classification Neural Networks with Computational Graphs from Scratch\"](https://medium.com/@rafayak/nothing-but-numpy-understanding-creating-binary-classification-neural-networks-with-e746423c8d5c)_\r\n\r\n\r\nThis second installment of _\"Nothing but NumPy\"_ builds upon the previous post. It delves into creating a neural network to solve a\r\nspecific kind of problem called _\"binary classification\"_.  \r\n\r\n\r\n\r\n___\r\n\r\n\r\n\r\nFeel free to reach out to me on [![alt text][1.2]][1] for any queries.\r\n\r\n[1]: https://twitter.com/RafayAK \r\n[1.2]: http://i.imgur.com/wWzX9uB.png (@RafayAK)\r\n\r\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Frafayak%2Fnothingbutnumpy","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Frafayak%2Fnothingbutnumpy","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Frafayak%2Fnothingbutnumpy/lists"}