Deep Learning II - Transformers, CV, Transfer Learning

Deep Learning II

Computer vision with convolutional networks and transformers — convolutions, stride, padding, and pooling, then Vision Transformers and the Swin Transformer’s shifted-window attention. Closes with transfer learning and an overview of emerging 3D computer vision for robotics and autonomous vehicles.