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Welcome to Deep Learning Playground

About

Deep Learning Playground is a project aimed at democratizing access to Machine Learning and Deep Learning in a low-code/no-code manner. Our team strongly believes that Machine Learning and Deep Learning can and will be done without the necessity to write code. In order to accelerate to the future, we have built interfaces where users can load in their datasets, select the configurations, drag/drop the building blocks. With one click of a button, the user will get helpful analytics in order to help them prototype their model and we give code that they can directly copy/paste into their individual project.

TLDR: Make ML and DL as easy as drag/drop and clicking buttons just like Scratch.

How to Run on localhost

See README.

We use NPM/NodeJS for package management on our frontend and Anaconda for the backend

How to Run Docker container in prod mode

See How to Run Docker container

Functionalities

Functionality is best shown through the website. You can access the GIF on our About page.

You have the ability to upload or link your data file, drag/drop the building blocks (ie: layers), specify your loss function and other important metadata and your model will train and give you the results + model architecture files

Contact Information for our Dev Team

See https://docs.google.com/spreadsheets/d/1fTgHjGjfxqjAjwfxhxVbPynJS8r5ahXU6enNK9tpG5w/edit?usp=sharing