Deep Learning, Computer Vision, Cnn, Transformers, AI.
stages of training, they often converge faster and require fewer epochs to achieve similar or better performance compared to CNNs. Furthermore, ViTs offer more architectural flexibility, making it easier to adapt the model to different computational budgets and problem sizes by adjusting the number