xsqian

import tensorflow as tf
x = tf.constant(5, name='x')
y = tf.constant(8, name='y')
z = tf.Variable(2*x+3*y, name='z')
model = tf.global_variables_initializer()

with tf.Session() as sess:
  write = tf.summary.FileWriter("./tf_logs", sess.graph)
  sess.run(model)
  print('z = ', sess.run(z)

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-- to pull the latest version of docker image from registry:
docker pull udacity/carnd-term1-starter-kit
-- to run the docker image (for Windows PowerShell):
docker run -it --rm -p 8888:8888 -v ${pwd}:/src udacity/carnd-term1-starter-kit test.ipynb
--or (for bash or Docker Quickstart Terminal)
docker run -it --rm -p 8888:8888 -v `pwd`:/src udacity/carnd-term1-starter-kit test.ipynb

xsqian

-- to set terminal window title
echo -n -e "\033]0;Docker and Kubernetes\007"