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authorGravatar Andrew Harp <andrewharp@google.com>2016-07-11 09:39:41 -0800
committerGravatar TensorFlower Gardener <gardener@tensorflow.org>2016-07-11 10:48:23 -0700
commit6cd8b28da1cd42f9bacbef9d55f64c7f5162bb9c (patch)
tree1bc5ba7867dd5174cf8145bcaceebe4493ff0d75 /tensorflow/examples/udacity
parentcb8cdf73c3bfc06ae5dc4b6aba07f429110d8b08 (diff)
Merge changes from github.
Change: 127101926
Diffstat (limited to 'tensorflow/examples/udacity')
-rw-r--r--tensorflow/examples/udacity/README.md17
1 files changed, 16 insertions, 1 deletions
diff --git a/tensorflow/examples/udacity/README.md b/tensorflow/examples/udacity/README.md
index 98edc71e59..4743ab557b 100644
--- a/tensorflow/examples/udacity/README.md
+++ b/tensorflow/examples/udacity/README.md
@@ -6,7 +6,7 @@ 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 --rm b.gcr.io/tensorflow-udacity/assignments:0.5.0
+ docker run -p 8888:8888 -it b.gcr.io/tensorflow-udacity/assignments:0.5.0
Accessing the Notebooks
-----------------------
@@ -19,6 +19,21 @@ 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
---