{"id":19406662,"url":"https://github.com/nirum/deep-learning-demos","last_synced_at":"2026-06-20T05:01:38.848Z","repository":{"id":151047256,"uuid":"50699953","full_name":"nirum/deep-learning-demos","owner":"nirum","description":":city_sunset: toying around with deep learning","archived":false,"fork":false,"pushed_at":"2017-05-19T09:01:19.000Z","size":16347,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":3,"default_branch":"master","last_synced_at":"2025-02-25T00:51:23.050Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/nirum.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"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":"2016-01-30T00:10:24.000Z","updated_at":"2016-01-30T00:10:44.000Z","dependencies_parsed_at":null,"dependency_job_id":"ef351107-dbae-4566-abf1-e25c6f757c9d","html_url":"https://github.com/nirum/deep-learning-demos","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/nirum/deep-learning-demos","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/nirum%2Fdeep-learning-demos","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/nirum%2Fdeep-learning-demos/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/nirum%2Fdeep-learning-demos/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/nirum%2Fdeep-learning-demos/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/nirum","download_url":"https://codeload.github.com/nirum/deep-learning-demos/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/nirum%2Fdeep-learning-demos/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":34557553,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-05-26T15:22:16.424Z","status":"online","status_checked_at":"2026-06-20T02:00:06.407Z","response_time":98,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"can_crawl_api":true,"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":"2024-11-10T11:43:02.383Z","updated_at":"2026-06-20T05:01:38.830Z","avatar_url":"https://github.com/nirum.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"### deep-learning-demos\ndemos of neural networks, in python\n\n#### walkthrough\nThe `toynn.py` script is the main script, it generates data from a toy classification problem and trains a multilayered neural network to solve it.\n\nThe network is built using the code in `layers.py`, which contains two classes: a `Network` class which contains a stack of `Layer`s. Each layer implements one of the layers in the network, and keeps track of the parameters of that layer. the `Network` connects these layers together so that you can compute forward or backward passes through the network.\n\nThe `Layer` class lets you specify the size (# of input and output dimensions) for each layer. The nonlinearity is assumed to be a sigmoid (see the function in `utils.py`) and the parameters are optimized using [adam](http://arxiv.org/abs/1412.6980).\n\nThe toy classification problem consists of trying to classify points where the decision boundary is given by the 2D boundary of a norm ball.\n\n#### setup\n```bash\n$ git clone https://github.com/nirum/deep-learning-demos\n$ cd deep-learning-demos\n$ pip install -r requirements.txt\n```\n\n#### requirements\n\n- numpy\n- matplotlib\n- [tqdm](https://github.com/tqdm/tqdm)\n- [toolz](https://github.com/pytoolz/toolz)\n- [descent](https://github.com/nirum/descent)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fnirum%2Fdeep-learning-demos","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fnirum%2Fdeep-learning-demos","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fnirum%2Fdeep-learning-demos/lists"}