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Diffstat (limited to 'tensorflow/examples/udacity')
-rw-r--r-- | tensorflow/examples/udacity/README.md | 6 |
1 files changed, 3 insertions, 3 deletions
diff --git a/tensorflow/examples/udacity/README.md b/tensorflow/examples/udacity/README.md index 6faad294c2..f80c56d1c1 100644 --- a/tensorflow/examples/udacity/README.md +++ b/tensorflow/examples/udacity/README.md @@ -43,15 +43,15 @@ In addition, you may need to pass `--memory=8g` as an extra argument to `docker-machine` is a tool to provision and manage docker hosts, it supports multiple platform (ex. aws, gce, azure, virtualbox, ...). To create a new virtual machine locally with built-in docker engine, you can use docker-machine create -d virtualbox --virtualbox-memory 8196 tensorflow - + `-d` means the driver for the cloud platform, supported drivers listed [here](https://docs.docker.com/machine/drivers/). Here we use virtualbox to create a new virtual machine locally. `tensorflow` means the name of the virtual machine, feel free to use whatever you like. You can use docker-machine ip tensorflow - + to get the ip of the new virtual machine. To switch from default virtual machine to a new one (here we use tensorflow), type eval $(docker-machine env tensorflow) - + Note that `docker-machine env tensorflow` outputs some environment variables such like `DOCKER_HOST`. Then your docker client is now connected to the docker host in virtual machine `tensorflow` * **I'm getting a TLS connection error.** |