Deep Learning Model Inference

Goal

Through this project, we investigate whether Generative Deep Learning Models (such as DALL-E Mini) can generate data that is suitable to effectively train a secondary DL Classification Model with an accuracy comparable to classification models trained on real data, such as the CIFAR-10 dataset.

Research Paper

See full research report here

Research Poster

Contributors

Andrea Covre - andrea.covre@gatech.edu
Jake Hopkins - jhopkins39@gatech.edu
Connor Reitz - creitz@gatech.edu