ViT (Vision Transformer for image classification‪)‬

This eBook provides an in-depth exploration of Vision Transformers (ViTs), a revolutionary architecture that is redefining image classification and computer vision tasks. From understanding the foundational principles of transformer models to examining advanced variants like CrossViT and Swin Transformer, this guide equips readers with the knowledge needed to leverage ViTs effectively. With practical insights into training techniques, performance metrics, and real-world applications, readers will gain a comprehensive understanding of how ViTs can enhance their projects and research. Whether you're a seasoned researcher or a newcomer to the field, this eBook serves as a valuable resource for navigating the exciting landscape of Vision Transformers.



Vision Transformer, ViT architecture, image classification, computer vision, self-attention mechanism, deep learning, object detection, semantic segmentation, multimodal learning, efficient transformers