🔬 Deep Learning

Full Stack Deep Learning's bootcamp — what it takes to ship deep learning systems in production. {description}

State-of-the-art papers with code implementations — best resource for staying current in AI research. {description}

Adrian Rosebrock's free computer vision tutorials — OpenCV, deep learning for CV, object detection. {description}

Satya Mallick's LearnOpenCV — production-quality computer vision tutorials with code. {description}

IBM Cognitive Class's free deep learning fundamentals course with badge. {description}

fast.ai Part 2 — build deep learning libraries from scratch, ending with Stable Diffusion. {description}

Jeremy Howard's top-down practical course — train state-of-the-art models in the first lesson, theory comes later. {description}

Hands-on PyTorch tutorials — implementing papers (YOLO, GANs, Transformers) from scratch. {description}

UW Madison Prof. Sebastian Raschka's full ML + DL course with PyTorch — beautifully taught. {description}

Daniel Bourke's free 40-hour PyTorch course with code, notebooks, and exercises. Also on freeCodeCamp. {description}