{"id":23863131,"url":"https://github.com/cnuahs/tensorflow-intro","last_synced_at":"2026-05-05T10:37:30.877Z","repository":{"id":84775133,"uuid":"177236349","full_name":"cnuahs/tensorflow-intro","owner":"cnuahs","description":"My Jupyter notebook from the Monash DataFluency Tensor Flow and Machine Learning workshop.","archived":false,"fork":false,"pushed_at":"2019-03-23T09:11:13.000Z","size":1316,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":2,"default_branch":"master","last_synced_at":"2025-01-03T07:48:49.833Z","etag":null,"topics":["colab-notebook","colaboratory","jupyter","jupyter-notebook","python","python3","python36","tensorflow","tensorflow-tutorials"],"latest_commit_sha":null,"homepage":"","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/cnuahs.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":"2019-03-23T02:49:22.000Z","updated_at":"2019-03-23T09:20:30.000Z","dependencies_parsed_at":null,"dependency_job_id":"0a359256-c587-4b07-927b-887d3c097c03","html_url":"https://github.com/cnuahs/tensorflow-intro","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/cnuahs%2Ftensorflow-intro","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/cnuahs%2Ftensorflow-intro/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/cnuahs%2Ftensorflow-intro/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/cnuahs%2Ftensorflow-intro/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/cnuahs","download_url":"https://codeload.github.com/cnuahs/tensorflow-intro/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":240173344,"owners_count":19759759,"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":["colab-notebook","colaboratory","jupyter","jupyter-notebook","python","python3","python36","tensorflow","tensorflow-tutorials"],"created_at":"2025-01-03T07:47:32.359Z","updated_at":"2026-05-05T10:37:30.843Z","avatar_url":"https://github.com/cnuahs.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# tensorflow-intro\n\nMy Jupyter notebook from the Monash DataFluency **_Tensor Flow and Machine Learning_** workshop.\n\nThe notebook makes use of the DataFluency `TutorialSupport` package and sample data.\n\nTo get started, clone this repository:\n\n```bash\n$ $ git clone https://github.com/cshaun/tensorflow-intro.git tensorflow-intro.git\n$ cd ./tensorflow-intro.git\n```\n\nThen create a virtual environment and setup your environment:\n\n```bash\n$ python3 -m virtualenv --no-site-packages --distribute env36\n$ source env/bin/activate\n(env36) $ pip3 install -U git+https://github.com/MonashDataFluency/intro-to-tensorflow.git\n(env36) $ pip3 install jupyter\n```\n\nThis installs the Monash DataFluency `TutorialSupport` package and dependencies, including `TensorFlow` and some sample datasets for machine learning. Note that the `TutorialSupport` package resets the random seed each time a session is created, to ensure results are reproducible, and limits the number of threads to 2. The `TutorialSupport` package requires python3 (tested using python3.6 on OS X).\n\nTo start the Jupyter notebook server:\n\n```bash\n(env) $ jupyter notebook\n```\nwhich should launch your browser, displaying the Jupyter dashboard and the contents of the current directory.\n\n---\n\nAlternatively, you can probably open the notebook on [Google's Colaboratory](https://colab.research.google.com/ \"Google Colab\") by clicking the button below:\n\n[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/cnuahs/tensorflow-intro/blob/master/ML_Coursework_Student.ipynb).\n\nTo run on Colab you need to install the `TutorialSupport` package from within the notebook by adding and executing a code cell containing something like:\n\n```\npip install git+https://github.com/MonashDataFluency/intro-to-tensorflow.git\n```\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fcnuahs%2Ftensorflow-intro","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fcnuahs%2Ftensorflow-intro","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fcnuahs%2Ftensorflow-intro/lists"}