{"id":20196457,"url":"https://github.com/dn070017/deep-learning-exercise","last_synced_at":"2026-06-08T00:31:44.486Z","repository":{"id":133649795,"uuid":"228340903","full_name":"dn070017/Deep-Learning-Exercise","owner":"dn070017","description":"Jupyter notebook, scripts, figures and interactive webpage for the notes of data science","archived":false,"fork":false,"pushed_at":"2020-08-04T06:51:10.000Z","size":9613,"stargazers_count":3,"open_issues_count":0,"forks_count":1,"subscribers_count":2,"default_branch":"master","last_synced_at":"2025-12-02T15:09:55.343Z","etag":null,"topics":["bokeh","data-science","deep-learning","jupyter-notebook","machine-learning"],"latest_commit_sha":null,"homepage":"https://hackmd.io/@Xg9_wrttQju8FXRCNT-Baw","language":"Jupyter Notebook","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/dn070017.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":"2019-12-16T08:41:09.000Z","updated_at":"2021-02-24T20:43:36.000Z","dependencies_parsed_at":null,"dependency_job_id":"e817e838-588f-48c8-8a75-2ec1cb447c33","html_url":"https://github.com/dn070017/Deep-Learning-Exercise","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/dn070017/Deep-Learning-Exercise","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/dn070017%2FDeep-Learning-Exercise","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/dn070017%2FDeep-Learning-Exercise/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/dn070017%2FDeep-Learning-Exercise/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/dn070017%2FDeep-Learning-Exercise/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/dn070017","download_url":"https://codeload.github.com/dn070017/Deep-Learning-Exercise/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/dn070017%2FDeep-Learning-Exercise/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":34043822,"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":"2026-06-07T02:00:07.652Z","response_time":124,"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":["bokeh","data-science","deep-learning","jupyter-notebook","machine-learning"],"created_at":"2024-11-14T04:24:12.765Z","updated_at":"2026-06-08T00:31:44.469Z","avatar_url":"https://github.com/dn070017.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Data Science Notes Figures\n## Introduction\nThis repository contains the jupyter notebook, scripts, figures and interactive webpage for the notes of data science. Please contact me if the content posted here is incorrect. \n\n## View Animation\nTo view the animation, please use the following command:\n```\nbokeh serve --show [animation.py]\n```\n\n## Content\n### Linear Algebra\n* [Notebooks](./linear_algebra/linear_algebra.ipynb)\n### Gradient Descent\n* [Notebooks](./gradient_descent/gradient_descent.ipynb)\n\n### Multilayer Perceptron\n* [Notes](https://hackmd.io/gVLoBUVJREWVS4DKr_2aHw)\n### Activation Functions\n* [Notes](https://hackmd.io/WmT0WUXaRfG4KDs1VBvNrw)\n* [Notebooks](./activation_functions/activation_functions.ipynb)\n### Objective Functions\n* [Notes](https://hackmd.io/0velDqCbQYyYYO8nR4Sjwg)\n* [Notebooks](./objective_functions/objective_functions.ipynb)\n### Optimizers\n* [Notes](https://hackmd.io/BWyACMxfTLyJhVVWh-G24A)\n* [Notebooks](./optimizers/optimizers.ipynb)\n* [Animation Scripts](./optimizers/optimizers_animation.py)","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdn070017%2Fdeep-learning-exercise","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fdn070017%2Fdeep-learning-exercise","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdn070017%2Fdeep-learning-exercise/lists"}