Note: None of these tutorials are my own, they are available on Tensorflow. The goal of this repository is to replicate these tutorials in a dockerized environment for educational purposes.
Any additions made to the content will be indicated within the corresponding notebooks.
All tutorials are availble within a simple docker container environment. Assuming you have docker and docker-compose installed, you can start up the jupyter notebook server by running docker-compose up within this project directory. Note there is only a single service built on the jupyter/tensorflow-notebook:latest image called tf-jupyter, this is meant to be starting point/reference guide to a more complex tech stack.
In your browser, navigate to localhost:8888 and you should see the familiar jupyter notebook interface.