Current status: Complete!
Full report can be found in ajn313_Final_Project_Report.pdf
The TGAN Car Generator is the main Python notebook.
The TDCGAN proof of concept is a secondary project I did to further explore the architecture concept I was working on.
Both the pruned and unpruned datasets are included as csv files
I also included the Data Reader script that I wrote for this project, as I'm still very proud to have figured that out.
I really would like to further explore the possibilities of the TGAN architecture I outlined here, as it does seem to be novel
It is similar to a Conditional GAN, but I think using an entirely trained Labeler network opens up a huge amount of possibilities in other fields.
ajn313/Deep-Learning-Final-Project-Fall2021
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