Vagrant Machine - TensorFlow

This vagrant machine(s) has been created to make sure developers have an easy method for boostrapping a local TensorFlow development environment.

• Machines with TensorFlow 1.6.0 (https://github.com/tensorflow/tensorflow/tree/v1.6.0-rc1)
  • Debian 8.0.0
    • Provider(s) : VirtualBox.
    • Arch(s) : amd64.
    • Installation Type(s) : Standard, desktop.
    • Additional Info
      • Root User
        • Login: root
        • Password: 123.Password
      • Default user
        • Login: vagrant
        • Password: vagrant

Usage

1. You need to have installed in your system the following softwares:
   • VirtualBox - Tested with version 5.0.x
   • Vagrant - Tested with version 1.7.4
2. Clone this git repository in /some/path/ and go to him.
3. Choose one of the machines in the repository and go to him.
4. Run vagrant up to start your machine.
5. Run vagrant ssh to accesss your machine.
6. Run python -m tensorflow.models.image.mnist.convolutional to test your machine.

Contributing

1. Fork it!
2. Create your feature branch: git checkout -b my-new-feature
3. Commit your changes: git commit -am 'Add some feature'
4. Push to the branch: git push origin my-new-feature
5. Submit a pull request =^.~=

License

BSD 3