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Austin Tsang edited this page Aug 17, 2022 · 23 revisions

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.

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

Name Phone Number Email Address Github Username
Karthik Subramanian 908-240-0310 [email protected] karkir0003
Faris Durrani 6789569655 [email protected] farisdurrani
Aniketh Swain 4016016107 [email protected] anikethswain
Lucas Zhang 9122576740 [email protected] LucasZhang58
Avaye Dawadi 4702658592 [email protected] avayedawadi
Kinshuk Phalke 4045197018 [email protected] xinslu
Nicholas Zhang 862-294-7457 [email protected] nzhang321
Emma Lawton 4705250103 [email protected] ejlawton612
Vidushi Maheshwari 4046441217 (for whatsapp) [email protected] vidushiMaheshwari
Samarth Chadna 4706672886 (for whatsapp) [email protected] samarth52
Dhruv Pargai +91 9999559515 [email protected] Dhruvpargai
Juan Diego 4702628187 [email protected] JuanCaicedo119
Jessi Chen 7036276826 [email protected] jcrunjie
Andrew Peng 1-612-470-7535 [email protected] andrewpeng02
Austin Tsang 6787880289 [email protected] Dashrekker
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