U-Net for Segmentation
U-Net for Image Segmentation: How a Simple Architecture Revolutionized Computer Vision In a world increasingly powered by computer vision — from self-driving cars to medical imaging — the ability to see, understand, and [...]
Graph Neural Networks
Graph Neural Networks Graph Neural Networks (GNNs) extend traditional neural networks to operate on graph data, where: Nodes represent entities (e.g., users, proteins, documents) Edges represent relationships or interactions (e.g., friendships, chemical bonds, [...]
