ML intro with Tensorflow + Jupyter

This docker and tutorial is a quick introduction to machine learning and tensorflow. We will be using linear regression, neural networks, and convolutional networks to train on the MNIST dataset.

How to use along with Docker

1. Install docker: https://docs.docker.com/engine/installation/
2. Pull docker from repository

docker pull jnwei13/tf_jupyter_intro

3. Run the docker

docker run -p 8888:8888 -it jnwei/tf_jupyter_intro

4. Jupyter notebook should be visible at localhost/8888 (type that address into a web browser)