ML In Depth: 2 - Deep Computer Vision - Segmentation

A practical deep-dive into image segmentation with deep learning. Covers semantic and instance segmentation, encoder-decoder architectures such as U-Net, and how to train pixel-level computer-vision models for applications like medical imaging and scene understanding using TensorFlow.