Feature Visualization of Deep Neural Networks

• Implemented a generic algorithm using PyTorch to explore feature visualization of image classifiers, focusing on ResNet and Vision Transformer (ViT) models.
• Analyzed the impact of various augmentation strategies on model accuracy, providing insights into the relationship between model architecture, augmentation methods, and feature interpretability.