Records found: 3
A hands-on guide to advanced computer vision workflows using TorchVision v2 transforms, MixUp/CutMix augmentation, a modern attention-equipped CNN architecture, and robust training practices.
'Practical DeepSpeed tutorial showing how to scale transformer training on limited hardware using ZeRO, mixed precision and gradient accumulation, with full code and benchmarking.'
Microsoft researchers demonstrate that the Muon optimizer drastically speeds up grokking in Transformer models, enabling faster transition from memorization to generalization compared to AdamW.