How To Install TensorFlow on Ubuntu 18.04 LTS

Install TensorFlow on Ubuntu 18.04 LTS

In this tutorial, we will show you how to install TensorFlow on Ubuntu 18.04 LTS. For those of you who didn’t know, TensorFlow is an end-to-end open-source machine learning platform used for machine learning and deep learning applications. It is developed by Google to do search ranking in its machine learning system.TensorFlow is created using the Python programming language, making it an easy-to-understand framework

This article assumes you have at least basic knowledge of Linux, know how to use the shell, and most importantly, you host your site on your own VPS. The installation is quite simple and assumes you are running in the root account, if not you may need to add ‘sudo’ to the commands to get root privileges. I will show you through the step by step installation TensorFlow on a Ubuntu 18.04 (Bionic Beaver) server.

Install TensorFlow on Ubuntu 18.04 LTS Bionic Beaver

Step 1. First, make sure that all your system packages are up-to-date by running these following apt-get commands in the terminal.

Step 2. Installing Python 3 and venv.

Run the commands below to install Python and Python venv:

To verify what version of Python is installed, run the commands below:

Step 3. Creating a Virtual Environment.

Now, we create a new directory for the TensorFlow project and navigate into it:

Once inside the directory, run the following command to create the virtual environment:

To start using this virtual environment, you need to activate it by running the activate script:

Step 4. Installing TensorFlow on Ubuntu.

Now that the virtual environment is activated, it’s time to install the TensorFlow package:

To verify the installation use the following command which will print the TensorFlow version:

Congratulations! You have successfully installed TensorFlow. Thanks for using this tutorial for installing TensorFlow on Ubuntu 18.04 systems. For additional help or useful information, we recommend you to check the official TensorFlow website.

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