How to create a docker to run TensorFlow

This article is a simple tutorial on creating and deploying a Docker image on your machine or server and using it to run your TensorFlow code without worrying about installing all the dependencies on your Local Machine.

What is Docker?

Docker is an open platform that develops, ships, and runs applications. it creates an image that includes all the necessary dependencies that someone would require to achieve their task. It keeps your computer clean of the extra applications, removes any hassle that you need to go through to install them, and creates a seamless environment for you to work on. To understand more about Docker, check the Docker overview


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