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| author |  Martin Wicke <wicke@google.com> | 2016-07-25 13:48:16 -0800 |
|---|---|---|
| committer |  TensorFlower Gardener <gardener@tensorflow.org> | 2016-07-25 15:02:34 -0700 |
| commit | 21716d8f6e175cd6e8cd97a84e48497574268b0c (patch) | |
| tree | 3345202e7a812cc9572beb24fc01732696a4140d /tensorflow/examples/udacity | |
| parent | ed281973d66d0030e58a77a05821bbb88627f5bd (diff) | |
Merge changes from github.
Change: 128401884
Diffstat (limited to 'tensorflow/examples/udacity')
| -rw-r--r-- | tensorflow/examples/udacity/README.md | 21 |
1 files changed, 5 insertions, 16 deletions
diff --git a/tensorflow/examples/udacity/README.md b/tensorflow/examples/udacity/README.md index 4743ab557b..1b0e5df5ee 100644 --- a/tensorflow/examples/udacity/README.md +++ b/tensorflow/examples/udacity/README.md @@ -6,7 +6,11 @@ Course information can be found at https://www.udacity.com/course/deep-learning- Running the Docker container from the Google Cloud repository ------------------------------------------------------------- - docker run -p 8888:8888 -it b.gcr.io/tensorflow-udacity/assignments:0.5.0 + docker run -p 8888:8888 --name tensorflow-udacity -it b.gcr.io/tensorflow-udacity/assignments:0.5.0 + +Note that if you ever exit the container, you can return to it using: + + docker start -ai tensorflow-udacity Accessing the Notebooks ----------------------- @@ -19,21 +23,6 @@ On mac, find the virtual machine's IP using: Then go to: http://IP:8888 (likely http://192.168.99.100:8888) -Saving Your Progress --------------------- - -Because of the `--rm` flag above, stopping the docker container removes it, so any changes you've made will disappear. One way around this is to remove the `--rm` flag, and name the container for easy restarting: -```sh -# you only need to "run" the container the first time: -docker run -p 8888:8888 -it --name tensorflow-udacity b.gcr.io/tensorflow-udacity/assignments:0.5.0 -# …do various things… -# when you're done, control-C to kill jupyter and stop the container -# when you're ready to do more things, you can now just "start" the container: -docker start -ai tensorflow-udacity -# …do more things… -# …repeat… -``` - FAQ --- |