sengstacken

Start the saved VM

Open Docker Quickstart - docker run -it -p 8888:8888 gcr.io/tensorflow/tensorflow

or docker run -it -p 8888:8888 gcr.io/tensorflow/tensorflow bash

or docker run -it -p 8888:8888 gcr.io/tensorflow/tensorflow:0.12.1 bash

maybe install modules

sengstacken

# create new repository (repo
git init

# check status of files
git status

# add file
git add <filename>

# commit files

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1. Log into AWS
2. Select N. California as location
3. Select AMI - cs224d_tensorflow - ami-16327176
4. 

OR go to EC2 > Instances > Start

ssh into machine
ssh -i cs224d_AWS.pem ubuntu@IP

sengstacken

# import numpy and set the printed precision to something humans can read
import numpy as np
np.set_printoptions(precision=2, suppress=True)
# set some prefs for matplotlib
import matplotlib.pyplot as plt
import matplotlib
matplotlib.rcParams.update({'text.usetex': True})
fig_width_pt = 700.  # Get this from LaTeX using \showthe\columnwidth
inches_per_pt = 1.0/72.27 # Convert pt to inches

sengstacken

Python Tips

File I/O!

f = open('workfile.b','r')
a = f.read() # or .readlines()
f.close()

f = open('workfile.b','w')