Chapter 30: Attention and Transformer Architectures

Learning Objectives

• Implement scaled dot-product attention and multi-head attention from scratch
• Build a complete transformer encoder-decoder architecture
• Implement Vision Transformer (ViT) for image classification and processing
• Adapt transformers for scientific data: sequences, grids, and point clouds