Amazon Ubuntu Deep Learning Instance Configuring Steps

Git server building.$ ssh-keygen -t rsa -C "user.email"
Modifying hooks:$ vim sample.git/hooks/post-receive
Sample code for hooks:#!/bin/sh GIT_WORK_TREE=/home/ubuntu/Deployment/sample git checkout -f chmod -R 777 /home/ubuntu/Deployment/sample
Install bazel.
1). Add Bazel distribution URI as a package source (one time setup)
```
echo "deb [arch=amd64] http://storage.googleapis.com/bazel-apt stable jdk1.8" | sudo tee /etc/apt/sources.list.d/bazel.list
curl https://bazel.build/bazel-release.pub.gpg | sudo apt-key add -
```
If you want to install the testing version of Bazel, replace stable with testing.2). Install and update Bazel

sudo apt-get update && sudo apt-get install bazel
Once installed, you can upgrade to a newer version of Bazel with:
```
sudo apt-get upgrade bazel
```
Tensorflow compiling.
Python module installing.
- tensorflow
- numpy
- pandas
Juypter.
https://punchagan.muse-amuse.in/posts/create-a-public-jupyter-server-quickly.html