Data Augmentation and Stochastic Weight Averaging in ResNetV2
My recent term project for CSCE-636 (Deep Learning) this past semester looked at testing image Augmentation techniques and Stochastic Weight averaging (SWA) in Residual networks for the CIFAR-10 dataset. Though my data augmentation and SWA techniques did not help me improve my baseline accuracy (95.15%), I was able to get some great experience with CNNs and deep learning architectures!
