Skip to content

A self-paced Machine Learning tutorial for creating a beer classifier

Notifications You must be signed in to change notification settings

Kumuluzz/BeerClassifier

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

7 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Beer Classifer

This repo contains a Jupyter Notebook meant for teaching purposes, which will walk you through creating a simple Convolutional Neural Network that can clssify two beers 🍻

Requirements

In order to run this code, you will need to install:

  • docker
  • docker-compose

Docker for different operating systems can be found here: https://hub.docker.com/search/?type=edition&offering=community

How to run

To start the Jupyter server up, enter the following command in your terminal in the root folder of this repo:

docker-compose up

To stop it again, hold Ctrl and click C.

Logs will be shown from the Jupyter server and there will be a link looking similar to the following:

http://127.0.0.1:8888/?token=ebbbdadb485c0327e5dd6eed6d53e11f888d72d6aa05b596

Open the link from your terminal in your browser and you should now have access to the Jupyter server running locally on your computer 🎉

Once you have the server open, then simply open the BeerClassifier.ipynb and follow the instructions in there.

About

A self-paced Machine Learning tutorial for creating a beer classifier

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published