This project was my final project for Advanced Machine Learning Systems in the Fall 2021 semester at Cornell University. It composed of research into the current state of conditional generative adversarial network (cGAN) models, an implementation of a cGAN model on a subset of Google’s Quick, Draw! dataset, experiments using this model utilizing varying optimizers (SGD, Adam, RMSProp, etc.) analyzed with statistical and hardware measures, and a compilation of research and experimental findings in a formal ICML research paper.
The final paper is attached below.