{"id":21415684,"url":"https://github.com/npvisual/keras-quickstart","last_synced_at":"2025-03-16T18:49:57.440Z","repository":{"id":70645312,"uuid":"104128402","full_name":"npvisual/Keras-Quickstart","owner":"npvisual","description":"Getting started with Keras (MNIST)","archived":false,"fork":false,"pushed_at":"2017-09-21T20:33:34.000Z","size":2865,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":3,"default_branch":"master","last_synced_at":"2025-01-23T05:31:15.615Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"wtfpl","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/npvisual.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"COPYING.WTFPL","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":"2017-09-19T21:03:53.000Z","updated_at":"2017-09-19T22:43:18.000Z","dependencies_parsed_at":null,"dependency_job_id":"e54262b5-0228-4b86-bb90-d73930cb2b15","html_url":"https://github.com/npvisual/Keras-Quickstart","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/npvisual%2FKeras-Quickstart","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/npvisual%2FKeras-Quickstart/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/npvisual%2FKeras-Quickstart/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/npvisual%2FKeras-Quickstart/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/npvisual","download_url":"https://codeload.github.com/npvisual/Keras-Quickstart/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":243912488,"owners_count":20367871,"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":[],"created_at":"2024-11-22T18:51:46.698Z","updated_at":"2025-03-16T18:49:57.411Z","avatar_url":"https://github.com/npvisual.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Keras Quickstart\n\n## Introduction\n\n`Keras Quickstart` is a [Jupyter Notebook](https://jupyter.org) which was created as a result of my first experiments with [Keras](https://keras.io). It doesn't provide any original content -- unless you count the rumblings of frustration and my snarly comments as such !\n\nThe notebook is heavily influenced by original (?) work ([here](https://machinelearningmastery.com/handwritten-digit-recognition-using-convolutional-neural-networks-python-keras/) and [here](https://elitedatascience.com/keras-tutorial-deep-learning-in-python)) around the MNIST dataset and also by the [Keras documentation](https://keras.io).\n\nHowever the real catalyst was the first part of [Lesson 2](https://www.youtube.com/watch?v=e3aM6XTekJc\u0026t=1034s) of the [fast.ai class](http://course.fast.ai) (Dogs \u0026 cats redux). I had so many questions after lessons 1 \u0026 2 that I just couldn't continue without digging a lot deeper into Keras and the models used during the class.\n\n## Getting started\nIf you already have [Jupyter](https://jupyter.org) installed, then you simply need to download the [Getting Started notebook](Getting%20Started%20with%20Keras.ipynb) and run it.\n\n## Notebook Viewer... or just GitHub !\n\nIf you have not installed [Jupyter](https://jupyter.org) (doh ! what are you waiting for ?), you can still view the [notebook online](https://nbviewer.jupyter.org/github/npvisual/Keras-Quickstart/blob/master/Getting%20Started%20with%20Keras.ipynb).\n\nI also recently discovered that you can [directly view](https://help.github.com/articles/working-with-jupyter-notebook-files-on-github/) the [notebook](Getting%20Started%20with%20Keras.ipynb) in GitHub. Awesome !!!\n\n## License\n\nAs far as my comments and not-so-original code, feel free to use [at will](COPYING.WTFPL). If you want to add attributions, it's always appreciated.\n\nFor the original content, please see below for copyrights and attributions :\n\n* Machine Learning Mastery : © 2017 Machine Learning Mastery. All Rights Reserved.\n* EliteDataScience : Copyright © 2017 · EliteDataScience.com · All Rights Reserved\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fnpvisual%2Fkeras-quickstart","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fnpvisual%2Fkeras-quickstart","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fnpvisual%2Fkeras-quickstart/lists"}