Set up machine learning and deep learning on AWS

Here is the simple instructions to set up a EC2 instance to run machine learning and deep learning on AWS

1.  Run an EC2 instance from AWS
Login the AWS account and switch to Oregon. Click on the Community AMI on the left panel.
Search ami-813110b1 and lunch the instance
Choose t2.micro the free tier

2.  Install and configure Anaconda

Download Anaconda

$ wget https://repo.continuum.io/archive/Anaconda2-4.2.0-Linux-x86_64.sh

• Install with bash

$ bash Anaconda2-4.2.0-Linux-x86_64.sh

• Configure Anaconda

Start python

>>> from notebook.auth import passwd

>>> passwd()

Copy the passwrod here and paste to the configuration file

$ jupyter notebook --generate-config

Open ./jupyter/jupyter_notebook_config.py

c.NotebookApp.ip = '*'

c.NotebookApp.password = u'sha1:67c9e60bb8b6:9ffede0825894254b2e042ea597d771089e11aed'

3. Install tensorflow, keras
$ pip install tensorflow
$ pip install keras

4. Start jupyter notebook

$ jupyter notebook --no-browser --port=8888

Open the browser and enter DNS the address

http://ec2-35-161-215-37.us-west-2.compute.amazonaws.com:8888