{"id":16246023,"url":"https://github.com/shiqimei/digit-recognition","last_synced_at":"2025-03-19T19:30:37.559Z","repository":{"id":84874362,"uuid":"196249197","full_name":"shiqimei/digit-recognition","owner":"shiqimei","description":"Recognize the handwritten digits online with FCNet which is powered by MNIST dataset 😄","archived":false,"fork":false,"pushed_at":"2019-08-31T07:31:27.000Z","size":27261,"stargazers_count":7,"open_issues_count":0,"forks_count":2,"subscribers_count":1,"default_branch":"master","last_synced_at":"2025-02-28T20:35:05.902Z","etag":null,"topics":["computer-vision","handwritten-character-recognition","neural-network","visualization"],"latest_commit_sha":null,"homepage":"https://handwritten.lolimay.cn","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/shiqimei.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":"2019-07-10T17:36:26.000Z","updated_at":"2022-12-26T23:31:14.000Z","dependencies_parsed_at":"2023-03-02T18:15:54.534Z","dependency_job_id":null,"html_url":"https://github.com/shiqimei/digit-recognition","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/shiqimei%2Fdigit-recognition","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/shiqimei%2Fdigit-recognition/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/shiqimei%2Fdigit-recognition/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/shiqimei%2Fdigit-recognition/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/shiqimei","download_url":"https://codeload.github.com/shiqimei/digit-recognition/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":244492707,"owners_count":20461553,"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":["computer-vision","handwritten-character-recognition","neural-network","visualization"],"created_at":"2024-10-10T14:29:14.546Z","updated_at":"2025-03-19T19:30:37.550Z","avatar_url":"https://github.com/shiqimei.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"\u003cp align=\"center\"\u003e\u003cimg src=\"./docs/images/logo.png\"\u003e\u003c/p\u003e\n\n## Introduction\n\nLet's try to recognize the handwritten digits online with our single hidden layer Fully Connected Neural Network (aka. [FCNet](./server/Training/FCNet.py)), which is powered by the [MNIST](http://yann.lecun.com/exdb/mnist/) dataset 😄.\n\n![](./docs/images/preview.gif)\n\n## Playground\n\nIt will be nice if you can play with the project. Below are some basic guidelines for you to have a good start!\n\n### Training \u0026 Evaluating\nYou can run [run_Train_Model.py](./server/Training/run_Train_Model.py) and [run_Evaluate_Model.py](./server/Evaluating/run_Evaluate_Model.py) to train and evaluate the model respectively.\n\n### The Network architecture\nCurrently, we use a single hidden layer Fully Connected Network and make it be trained with MNIST dataset. Feel free to rdesign your own network architecture and replace the file [FCNet.py](./server/Training/FCNet.py) in the **server/Training** folder.\n\n### Play with the utilities\nWe prepared some helpful tools for you in the [server/toos](./server/tools). You can do some work for the MNIST dataset with the help of these tools.\n\n## License\nThis project is open source under the [MIT](./LICENSE) license.","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fshiqimei%2Fdigit-recognition","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fshiqimei%2Fdigit-recognition","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fshiqimei%2Fdigit-recognition/lists"}