This post will be an introduction to deploying TensorFlow on dply.co using Docker containers, please note that the free tier of dply.co is only for 2 hours so you should only use it for trial purposes, of course, you can always pay to make it a production version.
Follow the first post to create an account and install Docker.
In the terminal window, we’ll need to install Docker compose using the following command;
docker run -it -p 8888:8888 gcr.io/tensorflow/tensorflow:latest-devel -v /tf_files/project_name.
You’ll then be prompted by the below error message, just ignore it.
After the TensorFlow Docker container is downloaded and setup, we want to check it using the following command
docker ps -a
You should be prompted by the following message
Congratulations, you’ve successfully installed a TensorFlow container on Dply, You can now take your first step in machine learning using the TensorFlow tutorials.