Tensorflow learning 1 -- Installation without GPU on ubuntu 16.04

Tensorflow learning 1 – Installation without GPU on ubuntu 16.04

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There are two ways of installing tensorflow on ubuntu, one is without GPU and the other is with NVIDIA GPU. Since I don’t have nvidia-gpu on my laptop, this article is about how to installation without GPU on ubuntu 16.04

1. Installation in python virtual environment

   • set up python virtual environment
     python apt-get install python-dev python-pip python-virtualenv
   • create a virtual environment for tensorflow and choose the version of python you want with the following command:
     virtualenv --system-site-packages ~/tensorflow -p python3
     ps: you also can choose python 2, which depends on which version you perfer
   • activate the virtual environment,
     source ~/tensorflow/bin/activate
     the command should change your prompt to the following:
     (tensorflow)$

   • Issue the following command to install tensorflow in the active virtual environment
     pip3 install --upgrade tensorflow
     since we are using python3 for tensorflow, we have to use pip3.
     Notice: you cannot use sudo with this command since we are in the virtual environment.

   • To exit this environment,
     (tensorflwo)$ deactivate

   PS: For this way, we have to activate the virtual enviroment every single time with source ~/tensorflow/bin/activate to use tensorflow. otherwise, tensorflwo is not available.

2. Verify if tensorflow is installed properly
   

   • activate virtual environment for tensorflow
     source ~/tensorflow/bin/activate
   • invoke python from your shell as follows
     python
   • Enter the following short program inside the python interactive shell:
     

   >>> import tensorflow as tf
   >>> hello = tf.constant(‘Hello, Tensorflow!’)
   >>> sess = tf.Session()
   >>> print(sess.run(hello))

3. If the system outputs the following, then you are ready to write tensorflow programs:
   Hellow, Tensorflow!
4. 
   Congrats, you are able to use Tensorflow now! Start learning Tensorflow yourself.

   Sunday, 11. June 2017 04:49PM – Shuen