ML Ascent 2 - Representation Learning Computer Vision

An introduction to representation learning for computer vision: how deep neural networks learn compact, transferable feature embeddings from images. Covers feature extraction, transfer learning, and why high-quality representations are the foundation of modern computer-vision systems.