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TensorFlow CPU version.\n\n## Quick Start\n\nBefore `git clone` or download this project, please make sure that docker service is running on local computer.\n\n### Build Docker Image\n\n``` bash\n$ docker-compose build\n```\n\nThe command will build a docker image based on Ubuntu 16.04 with Python 3.5+ and TensorFlow/Jupyter, etc.\n\n**NOTE** During the installation, there could be a possible warning like the following, but I would suggest to ignore it since the upgrade on pip itself has some knonw issues on jupyter.\n\n``` bash\nYou are using pip version 8.1.1, however version 10.0.1 is available.\nYou should consider upgrading via the 'pip install --upgrade pip' command.\n```\n\n\n### Run Server\n\n``` bash\n$ docker-compose up\n```\n\nIf success, some random link should print out in the terminal like this:\n\n``` bash\nhttp://4e2a38a20392:8888/?token=6aff5dc5 ....\n```\n\nThen you can copy this url and replace the prefix with `http://localhost:8888/?token=...` to open it in your browser\n\n**TIPS** You can change the default port `8888` by replacing it all in the `docker-compose.yml` file.\n\n\n### Stop\n\nTo turn it off, just go to the same project folder:\n\n``` bash\n$ docker-compose down\n```\n\n### Extra Python 3 Libraries\n\nIf \"module not found\", just go `Dockerfile` to add more `RUN pip3 install --upgrade \u003cthe missing module name\u003e` as need.\n\n### Content\n\nAll your work in this stand alone server will be saved into the `content` folder, by default. Check docker-composer.yml for detail.\n\n## Support\n\nPlease feel free to contact me by linkedin [https://www.linkedin.com/in/rockfordwei/](https://www.linkedin.com/in/rockfordwei/)","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Frockfordwei%2Fjupyterdockerserver","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Frockfordwei%2Fjupyterdockerserver","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Frockfordwei%2Fjupyterdockerserver/lists"}